Student government

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Student government: The student government at UNC–Chapel Hill is split into undergraduate student government and graduate and professional student government.The undergraduate student government consists of an executive branch headed by the student body presidentand a legislative branch, the undergraduate student senate.The graduate and professional student government similarly consists of an executive (with its own president) and a legislative senate.There is also a joint governance council that approves legislation affecting both undergraduate and graduate and professional students and advises the undergraduate and graduate and professional student governments.The honor system is similarly split into two branches covering undergraduate students and graduate and professional students.The Student Supreme Court, the other part of the judicial branch, consists of four associate justices and a chief justice, which are appointed by the student body president and confirmed by a two thirds vote of the senate for their part of the student body.

[["University_of_North_Carolina_at_Chapel_Hill", "has", "Honor_Code_at_the_University_of_North_Carolina_at_Chapel_Hill"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Student_Supreme_Court"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Undergraduate_Student_Government"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Graduate_and_Professional_Student_Government"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Joint_Governance_Council"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Student_Body_President"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Undergraduate_Student_Senate"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Student_Supreme_Court"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Honor_Code_at_the_University_of_North_Carolina_at_Chapel_Hill"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Graduate_and_Professional_Honor_Code"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Executive_Branch"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Legislative_Branch"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Associate_Justice"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Chief_Justice"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Undergraduate_Student_Government"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Graduate_and_Professional_Student_Government"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Joint_Governance_Council"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Student_Body_President"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Undergraduate_Student_Senate"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Executive_Branch"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Associate_Justice"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Chief_Justice"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Legislative_Branch"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Student_Supreme_Court"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Honor_Code_at_the_University_of_North_Carolina_at_Chapel_Hill"], ["University_of_North_Carolina_at_Chapel_Hill", "has", "Graduate_and_Professional_Honor_Code"]]


Dining

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Dining: Lenoir Dining Hall was completed in 1939 using funds from theNew DealeraPublic Works Administration, and opened for service to students when they returned from Christmas holidays in January 1940. The building was named forGeneral William Lenoir, the first chairman of the Board of Trustees of the university in 1790. Since its inception, Lenoir Dining Hall has remained the flagship of Carolina Dining Services and the center of dining on campus. It has been renovated twice, in 1984 and 2011, to improve seating and ease mealtime rushes. Chase Hall was originally built in 1965 to offer South Campus dining options and honor former UNC President Harry Woodburn Chase, who served from 1919 to 1930. In 2005, the building was torn down to make way for the Student and Academic Services buildings, and was rebuilt north of the original location as the Rams Head Center (with the inner dining hall officially titled Chase Dining Hall). Due to students nicknaming the dining hall Rams Head, the university officially reinstated Chase Hall as the building name in March 2017. It includes the Chase Dining Hall, the Rams Head Market, and a conference room called the "Blue Zone".Chase Dining Hall seats 1,300 people and has a capacity for serving 10,000 meals per day.It continues to offer more food service options to the students living on south campus, and features extended hours including the 9 pm – 12 am period referred to as "Late Night".

[["Lenoir_Dining_Hall", "Building"], ["University_of_North_Carolina_at_Chapel_Hill", "Tenant"], ["1939", "Date"], ["Public_Works_Administration", "Funding_Source"], ["General_William_Lenoir", "Person"], ["Chase_Dining_Hall", "Building"], ["Rams_Head_Market", "Food"], ["Chase_Dining_Hall", "Food"], ["\"9 p.m. – 12 a.m.\"", "Time"], ["2005", "Date"], ["Chase_Dining_Hall", "Building"], ["1,300", "number"], ["Harry_Woodburn_Chase", "Person"], ["Chase_Dining_Hall", "Building"], ["10,000", "number"], ["\"Late Night\"", "Food"], ["Chapel_Hill,_North_Carolina", "Location"], ["1984", "Date"], ["Rams_Head_Market", "Building"], ["2011", "Date"]]


Dining

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Dining: Lenoir Dining Hall was completed in 1939 using funds from theNew DealeraPublic Works Administration, and opened for service to students when they returned from Christmas holidays in January 1940. The building was named forGeneral William Lenoir, the first chairman of the Board of Trustees of the university in 1790. Since its inception, Lenoir Dining Hall has remained the flagship of Carolina Dining Services and the center of dining on campus. It has been renovated twice, in 1984 and 2011, to improve seating and ease mealtime rushes. Chase Hall was originally built in 1965 to offer South Campus dining options and honor former UNC President Harry Woodburn Chase, who served from 1919 to 1930. In 2005, the building was torn down to make way for the Student and Academic Services buildings, and was rebuilt north of the original location as the Rams Head Center (with the inner dining hall officially titled Chase Dining Hall). Due to students nicknaming the dining hall Rams Head, the university officially reinstated Chase Hall as the building name in March 2017. It includes the Chase Dining Hall, the Rams Head Market, and a conference room called the "Blue Zone".Chase Dining Hall seats 1,300 people and has a capacity for serving 10,000 meals per day.It continues to offer more food service options to the students living on south campus, and features extended hours including the 9 pm – 12 am period referred to as "Late Night".

[["Lenoir_Dining_Hall", "completion_date", "1939"], ["Lenoir_Dining_Hall", "funding", "New_Deal"], ["Lenoir_Dining_Hall", "dining_hall", "Carolina_Dining_Services"], ["Lenoir_Dining_Hall", "revenue", "Public_Works_Administration"], ["Lenoir_Dining_Hall", "building", "Chase_Dining_Hall"], ["Lenoir_Dining_Hall", "current_tenants", "University_of_North_Carolina_at_Chapel_Hill"], ["Lenoir_Dining_Hall", "completion_date", "\"1940-01-01\""], ["Lenoir_Dining_Hall", "building", "Rams_Head_Center"], ["Lenoir_Dining_Hall", "dedicated_to", "General_William_Lenoir"], ["Lenoir_Dining_Hall", "revenue", "Carolina_Dining_Services"], ["Lenoir_Dining_Hall", "has_toItsWest", "Chase_Dining_Hall"], ["Lenoir_Dining_Hall", "revenue", "University_of_North_Carolina_at_Chapel_Hill"], ["Lenoir_Dining_Hall", "building", "Chase_Hall"], ["Lenoir_Dining_Hall", "revenue", "Public_Works_Administration"], ["Lenoir_Dining_Hall", "has_toItsNortheast", "Chase_Dining_Hall"], ["Lenoir_Dining_Hall", "revenue", "Chase_Dining_Hall"], ["Lenoir_Dining_Hall", "has_toItsNorthwest", "Rams_Head_Center"], ["Lenoir_Dining_Hall", "revenue", "Rams_Head_Center"], ["Lenoir_Dining_Hall", "has_toItsSouthwest", "Chase_Hall"], ["Lenoir_Dining_Hall", "revenue", "Chase_Hall"], ["Lenoir_Dining_Hall", "has_toItsSoutheast", "University_of_North_Carolina_at_Chapel_Hill"], ["Lenoir_Dining_Hall", "revenue", "University_of_North_Carolina_at_Chapel_Hill"], ["Lenoir_Dining_Hall", "building", "University_of_North_Carolina_at_Chapel_Hill"], ["Lenoir_Dining_Hall", "revenue", "Dining"], ["Lenoir_Dining_Hall", "has_toItsEast", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "current_tenants", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "revenue", "Carolina_Dining_Services"], ["Chase_Dining_Hall", "building", "Rams_Head_Center"], ["Chase_Dining_Hall", "has_toItsWest", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "revenue", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "has_toItsNortheast", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "revenue", "Dining"], ["Chase_Dining_Hall", "has_toItsNorthwest", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "seating_capacity", "1300"], ["Chase_Dining_Hall", "revenue", "Rams_Head_Center"], ["Chase_Dining_Hall", "has_toItsSouthwest", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "revenue", "Carolina_Dining_Services"], ["Chase_Dining_Hall", "has_toItsSoutheast", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Dining_Hall", "meal_serving_capacity", "10000"], ["Chase_Dining_Hall", "building", "Chase_Hall"], ["Chase_Dining_Hall", "hasToItsNorth", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Hall", "current_tenants", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Hall", "revenue", "Carolina_Dining_Services"], ["Chase_Hall", "building", "Chase_Dining_Hall"], ["Chase_Hall", "hasToItsWest", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Hall", "revenue", "University_of_North_Carolina_at_Chapel_Hill"], ["Chase_Hall", "hasToItsNortheast", "University_of_North_Carolina_at_Chapel_Hill"}, {"Chase_Hall", "revenue", "Dining"}, {"Chase_Hall", "hasToItsNorthwest", "University_of_North_Carolina_at_Chapel_Hill"}, {"Chase_Hall", "revenue", "Rams_Head_Center"}, {"Chase_Hall", "hasToItsSouthwest", "University_of_North_Carolina_at_Chapel_Hill"}, {"Chase_Hall", "revenue", "Chase_Dining_Hall"}, {"Chase_Hall", "hasToItsSoutheast", "University_of_North_Carolina_at_Chapel_Hill"}, {"Chase_Hall", "building", "Rams_Head_Center"}, {"Chase_Hall", "hasToItsNorth", "University_of_North_Carolina_at_Chapel_Hill"}]


Housing

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Housing: On campus, the Department of Housing and Residential Education manages thirty-two residence halls, grouped into thirteen communities. These communities range from Olde Campus Upper Quad Community which includesOld East Residence Hall, the oldest building of the university, to modern communities such as Manning West, completed in 2002.First year students are required to live in one of the eight "First Year Experience" residence halls, most of which are located on South Campus.In addition to residence halls, the university oversees an additional eight apartment complexes organized into three communities, Ram Village, Odum Village, and Baity Hill Student Family Housing. Along with themed housing focusing on foreign languages and substance-free living, there are also "living-learning communities" which have been formed for specific social, gender-related, or academic needs.An example is UNITAS, sponsored by the Department of Anthropology, where residents are assigned roommates on the basis of cultural or racial differences rather than similarities.Three apartment complexes offer housing for families, graduate students, and some upperclassmen.Along with the rest of campus, all residence halls, apartments, and their surrounding grounds aresmoke-free.As of 2008[update], 46% of all undergraduates live in university-provided housing.

[["University_of_North_Carolina_at_Chapel_Hill", "Company"], ["32", "number"], ["Department_of_Housing_and_Residential_Education", "Organization"], ["Olde_Campus_Upper_Quad_Community", "University_of_North_Carolina_at_Chapel_Hill"], ["Old_East_Residence_Hall", "Building"], ["2002", "date"], ["UNITAS", "University_of_North_Carolina_at_Chapel_Hill"], ["Department_of_Anthropology", "University_of_North_Carolina_at_Chapel_Hill"], ["46.0", "percentage"], ["First_Year_Experience", "University_of_North_Carolina_at_Chapel_Hill"], ["8", "number"], ["South_Campus", "University_of_North_Carolina_at_Chapel_Hill"], ["Baity_Hill_Student_Family_Housing", "University_of_North_Carolina_at_Chapel_Hill"], ["Ram_Village", "University_of_North_Carolina_at_Chapel_Hill"], ["Odum_Village", "University_of_North_Carolina_at_Chapel_Hill"], ["Families", "University_of_North_Carolina_at_Chapel_Hill"], ["Graduate_students", "University_of_North_Carolina_at_Chapel_Hill"], ["Upperclassmen", "University_of_North_Carolina_at_Chapel_Hill"], ["Substance-free_living", "University_of_North_Carolina_at_Chapel_Hill"], ["Foreign_languages", "University_of_North_Carolina_at_Chapel_Hill"], ["Manning_West", "University_of_North_Carolina_at_Chapel_Hill"], ["Smoking", "University_of_North_Carolina_at_Chapel_Hill"], ["8", "number"], ["Apartment_complexes", "University_of_North_Carolina_at_Chapel_Hill"], ["Themed_housing", "University_of_North_Carolina_at_Chapel_Hill"], ["Living-learning_communities", "University_of_North_Carolina_at_Chapel_Hill"], ["2008", "date"]]


Housing

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Housing: On campus, the Department of Housing and Residential Education manages thirty-two residence halls, grouped into thirteen communities. These communities range from Olde Campus Upper Quad Community which includesOld East Residence Hall, the oldest building of the university, to modern communities such as Manning West, completed in 2002.First year students are required to live in one of the eight "First Year Experience" residence halls, most of which are located on South Campus.In addition to residence halls, the university oversees an additional eight apartment complexes organized into three communities, Ram Village, Odum Village, and Baity Hill Student Family Housing. Along with themed housing focusing on foreign languages and substance-free living, there are also "living-learning communities" which have been formed for specific social, gender-related, or academic needs.An example is UNITAS, sponsored by the Department of Anthropology, where residents are assigned roommates on the basis of cultural or racial differences rather than similarities.Three apartment complexes offer housing for families, graduate students, and some upperclassmen.Along with the rest of campus, all residence halls, apartments, and their surrounding grounds aresmoke-free.As of 2008[update], 46% of all undergraduates live in university-provided housing.

[["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Olde_Campus_Upper_Quad_Community"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "UNITAS"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Manning_West"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Baity_Hill_Student_Family_Housing"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Odum_Village"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Ram_Village"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Old_East_Residence_Hall"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "First_Year_Experience"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "South_Campus"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Substance-free_living"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Foreign_language"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Living-learning_community"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Graduate_student"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "University_provided_housing"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "46.0"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "2008"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Smoke-free_environments"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Apartment_complex"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Upperclassman"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Family"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Department_of_Housing_and_Residential_Education"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "32"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "13"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "Manning_West"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product_line", "2002"]]


Alumni

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Alumni: With over 300,000 living former students,UNC has one of the largest and most active alumni groups in America. Many Tar Heels have attained local, national, and international prominence. In politics, these have includedJames K. Polk, who served as the 11th President of the United States from 1845 to 1849,andWilliam R. King, the thirteenth Vice President of the United States.Tar Heels have also made a mark onpop culture, with figures includingThomas Wolfe, the author of works such asLook Homeward, AngelandOf Time and the River, andAndy Griffith, star ofThe Andy Griffith Show.Sports stars have included basketball playersCharlie Scott,Billy Cunningham,Michael Jordan,James Worthy,Sam Perkins,Kenny Smith,Vince Carter,Antawn Jamison,Jerry Stackhouse, andRasheed Wallacewho all played underDean Smithwhile attending UNC, football playersLawrence Taylor,Julius Peppers,Jeff SaturdayandDrake Maye, soccer playersMia Hamm,Cindy Parlow Cone,Heather O'Reilly,Yael Averbuch West, andCrystal Dunn, and OlympiansApril HeinrichsandVikas Gowda.In business, alumni includeJason Kilar, former CEO ofHulu,andHoward R. Levine, former CEO and chair ofFamily Dollar.

[["University_of_North_Carolina_at_Chapel_Hill", "company"], ["300000", "number"], ["James_K._Polk", "person"], ["11th_president_of_the_United_States", "string"], ["1845", "year"], ["1849", "year"], ["Andy_Griffith", "person"], ["Lawrence_Taylor", "Person"], ["Family_Dollar", "company"], ["Jason_Kilar", "Person"], ["Hulu", "company"], ["Michael_Jordan", "Person"], ["Dean_Smith", "Person"], ["Cindy_Parlow_Cone", "Person"], ["Vince_Carter", "Person"], ["April_Heinrichs", "Person"], ["Antawn_Jamison", "Person"], ["Mia_Hamm", "Person"], ["Sam_Perkins", "Person"], ["Drake_Maye", "Person"], ["Heather_O'Reilly", "Person"], ["James_Worthy", "Person"], ["University_of_North_Carolina_at_Chapel_Hill", "person"], ["Kenny_Smith", "Person"], ["Rasheed_Wallace", "Person"], ["Soccer", "sport"], ["OFamily_Dollar", "Person"], ["C", "Person"], ["Vikas_Gowda", "Person"], ["Soccer", "sport"], ["United_States", "country"], ["Heather_O'Reilly", "Person"], ["Yael_Averbuch", "Person"], ["Tom_Wolfe", "Person"], ["Look_Homeward,_Angela", "Product"], ["Drake_Maye", "Person"], ["United_States", "country"], ["OF Time and the River", "Product"], ["Lawrence_Taylor", "Person"], ["Antawn_Jamison", "Person"], ["Soccer", "sport"], ["Sam_Perkins", "Person"], ["James_Worthy", "Person"], ["Vince_Carter", "Person"], ["United_States", "country"], ["Dean_Smith", "Person"], ["Mia_Hamm", "Person"], ["Cindy_Parlow_Cone", "Person"], ["Andy_Griffith", "Person"], ["Tom_Wolfe", "Person"], ["Heather_O'Reilly", "Person"], ["United_States", "country"], ["Drake_Maye", "Person"], ["Soccer", "sport"], ["AOF Time and the River", "Product"], ["Lawrence_Taylor", "Person"], ["Antawn_Jamison", "Person"], ["United_States", "country"], ["James_Worthy", "Person"], ["Vince_Carter", "Person"], ["Dean_Smith", "Person"], ["Mia_Hamm", "Person"], ["Cindy_Parlow_Cone", "Person"], ["Andy_Griffith", "Person"], ["Tom_Wolfe", "Person"], ["Heather_O'Reilly", "Person"], ["Soccer", "sport"], ["United_States", "country"], ["Drake_Maye", "Person"], ["OF Time and the River", "Product"], ["Lawrence_Taylor", "Person"], ["Antawn_Jamison", "Person"], ["United_States", "country"], ["James_Worthy", "Person"], ["Vince_Carter", "Person"], ["Dean_Smith", "Person"], ["Mia_Hamm", "Person"], ["Cindy_Parlow_Cone", "Person"], ["Andy_Griffith", "Person"], ["Tom_Wolfe", "Person"], ["Heather_O'Reilly", "Person"], ["Soccer", "sport"], ["United_States", "country"], ["Drake_Maye", "Person"], ["OF Time and the River", "Product"], ["William_R._King", "Person"], ["United_States", "country"], ["Vikas_Gowda", "Person"], ["University_of_North_Carolina_at_Chapel_Hill", "person"], ["Howard_R._Levine", "Person"], ["Soccer", "sport"], ["James_Worthy", "Person"], ["Antawn_Jamison", "Person"], ["Dean_Smith", "Person"], ["Mia_Hamm", "Person"], ["Cindy_Parlow_Cone", "Person"], ["Vince_Carter", "Person"], {"type": "Athlete', "name": "Mia Hamm"}, {"type": "Athlete', "name": "Cindy Parlow Cone"}, {"type": "Athlete', "name": "James Worthy"}, {"type": "Athlete', "name": "Antawn Jamison"}, {"type": "Athlete', "name": "Dean Smith"}, {"type": "Athlete', "name": "Vince Carter"}, {"type": "Athlete', "name": "Heather O'Reilly"}, {"type": "Athlete', "name": "Drake Maye"}, {"type": "Athlete', "name": "Rasheed Wallace"}, {"type": "Athlete', "name": "Sam Perkins"}, {"type": "Athlete', "name": "Kenny Smith"}, {"type": 'Athlete', "name": "Lawrence Taylor"}, {"type": 'Athlete', "name": "Andy Griffith"}, {"type": 'Athlete', "name": "Tom Wolfe"}, {"type": 'Athlete', "name": "Vikas Gowda"}]


Alumni

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Alumni: With over 300,000 living former students,UNC has one of the largest and most active alumni groups in America. Many Tar Heels have attained local, national, and international prominence. In politics, these have includedJames K. Polk, who served as the 11th President of the United States from 1845 to 1849,andWilliam R. King, the thirteenth Vice President of the United States.Tar Heels have also made a mark onpop culture, with figures includingThomas Wolfe, the author of works such asLook Homeward, AngelandOf Time and the River, andAndy Griffith, star ofThe Andy Griffith Show.Sports stars have included basketball playersCharlie Scott,Billy Cunningham,Michael Jordan,James Worthy,Sam Perkins,Kenny Smith,Vince Carter,Antawn Jamison,Jerry Stackhouse, andRasheed Wallacewho all played underDean Smithwhile attending UNC, football playersLawrence Taylor,Julius Peppers,Jeff SaturdayandDrake Maye, soccer playersMia Hamm,Cindy Parlow Cone,Heather O'Reilly,Yael Averbuch West, andCrystal Dunn, and OlympiansApril HeinrichsandVikas Gowda.In business, alumni includeJason Kilar, former CEO ofHulu,andHoward R. Levine, former CEO and chair ofFamily Dollar.

[["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "300000"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "James_K._Polk"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "William_R._King"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Thomas_Wolfe"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Andy_Griffith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Mia_Hamm"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Cindy_Parlow_Cone"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Heather_O'Reilly"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Yael_Averbuch"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Vikas_Gowda"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "April_Heinrichs"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Lawrence_Taylor"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Drake_Maye"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Sam_Perkins"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Charlie_Scott"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Michael_Jordan"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Jeff_Saturday"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Antawn_Jamison"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Kenny_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Rasheed_Wallace"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Jerry_Stackhouse"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Julius_Peppers"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Hulu"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Jason_Kilar"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Family_Dollar"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Howard_R._Levine"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Of_Time_and_the_River"], ["University_of_North_Carolina_at_Chapel_Hill", "has_alumni", "Look_Homeward,_Angela"]]