Patrick J. McGovern Foundation
E554905
The Patrick J. McGovern Foundation is a philanthropic organization that supports initiatives at the intersection of technology and social good, particularly in data science, artificial intelligence, and digital equity.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Patrick J. McGovern Foundation canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T5924549 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick J. McGovern Foundation Context triple: [Patrick J. McGovern, founded, Patrick J. McGovern Foundation]
-
A.
Dumbarton Oaks
Dumbarton Oaks is a historic estate and research institution in Washington, D.C., renowned for its Byzantine and Pre-Columbian art collections, scholarly library, and formal gardens.
-
B.
Leakey Foundation
The Leakey Foundation is a nonprofit organization that supports research and education in human origins, evolution, and primatology.
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C.
Annenberg Foundation
The Annenberg Foundation is a major American family philanthropy that supports education, arts and culture, civic engagement, and social justice initiatives through grants and strategic investments.
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D.
Rappaport Foundation
The Rappaport Foundation is a philanthropic organization known for supporting public policy, civic leadership, and community-focused initiatives, particularly in the Greater Boston area.
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E.
Carnegie Institution of Washington
The Carnegie Institution of Washington is a private, nonprofit scientific research organization founded by Andrew Carnegie that supports advanced research across fields such as astronomy, biology, and earth sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick J. McGovern Foundation Target entity description: The Patrick J. McGovern Foundation is a philanthropic organization that supports initiatives at the intersection of technology and social good, particularly in data science, artificial intelligence, and digital equity.
-
A.
Dumbarton Oaks
Dumbarton Oaks is a historic estate and research institution in Washington, D.C., renowned for its Byzantine and Pre-Columbian art collections, scholarly library, and formal gardens.
-
B.
Leakey Foundation
The Leakey Foundation is a nonprofit organization that supports research and education in human origins, evolution, and primatology.
-
C.
Annenberg Foundation
The Annenberg Foundation is a major American family philanthropy that supports education, arts and culture, civic engagement, and social justice initiatives through grants and strategic investments.
-
D.
Rappaport Foundation
The Rappaport Foundation is a philanthropic organization known for supporting public policy, civic leadership, and community-focused initiatives, particularly in the Greater Boston area.
-
E.
Carnegie Institution of Washington
The Carnegie Institution of Washington is a private, nonprofit scientific research organization founded by Andrew Carnegie that supports advanced research across fields such as astronomy, biology, and earth sciences.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf | philanthropic foundation ⓘ |
| collaboratesWith |
academic researchers
ⓘ
governments ⓘ multilateral organizations ⓘ nonprofits ⓘ technology companies ⓘ |
| emphasizes |
cross-sector collaboration
ⓘ
equity in technology ⓘ ethical data use ⓘ evidence-based decision making ⓘ human-centered technology ⓘ open and shared data ⓘ |
| hasAreaOfActivity |
United States
ⓘ
linked to:
United States of America
global ⓘ low- and middle-income countries ⓘ |
| hasFocus |
artificial intelligence
ⓘ
climate and data ⓘ data philanthropy ⓘ data science ⓘ digital equity ⓘ digital inclusion ⓘ nonprofit digital transformation ⓘ public interest technology ⓘ responsible AI ⓘ technology for social good ⓘ |
| hasPurpose |
advance AI and data solutions for social impact
ⓘ
build data capacity in civil society ⓘ foster ethical and responsible use of data ⓘ promote equitable access to digital technologies ⓘ support nonprofits using data and AI ⓘ |
| namedAfter |
Patrick J. McGovern
ⓘ
linked to:
Patrick Joseph McGovern Jr.
|
| operatesInSector |
philanthropy
ⓘ
social impact ⓘ technology ⓘ |
| promotes |
AI literacy for social sector leaders
ⓘ
data literacy in civil society ⓘ inclusive digital innovation ⓘ |
| provides |
AI expertise
ⓘ
capacity-building support ⓘ data science expertise ⓘ grants ⓘ strategic partnerships ⓘ technical assistance ⓘ |
| supports |
AI for good initiatives
ⓘ
academic institutions ⓘ data collaboratives ⓘ nonprofit organizations ⓘ open-source projects ⓘ research initiatives ⓘ social enterprises ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Patrick J. McGovern Foundation Description of subject: The Patrick J. McGovern Foundation is a philanthropic organization that supports initiatives at the intersection of technology and social good, particularly in data science, artificial intelligence, and digital equity.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.