Diana Vagelos
E45334
Diana Vagelos is a philanthropist and benefactor whose support, alongside that of her husband P. Roy Vagelos, has been instrumental in advancing medical education and research at Columbia University.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Diana Vagelos canonical | 4 |
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
benefactor
ⓘ
philanthropist ⓘ |
| affiliatedWith | Columbia University ⓘ |
| associatedWithDonation |
endowments at Columbia University
ⓘ
support for research facilities ⓘ support for scholarships in medicine ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| fieldOfActivity | philanthropy ⓘ |
| hasCollaborator |
Roy Vagelos
ⓘ
surface form:
P. Roy Vagelos
|
| hasRecognition | recognition from Columbia University for philanthropy ⓘ |
| influencedDomain |
academic research capacity at Columbia University
ⓘ
medical training infrastructure ⓘ |
| knownFor |
advancing medical education at Columbia University
ⓘ
advancing medical research at Columbia University ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableFor |
major support to Columbia University
ⓘ
philanthropic support of medical education ⓘ philanthropic support of medical research ⓘ |
| partnerInPhilanthropy |
Roy Vagelos
ⓘ
surface form:
P. Roy Vagelos
|
| roleInSociety |
patron of higher education
ⓘ
patron of medical sciences ⓘ |
| spouse |
Roy Vagelos
ⓘ
surface form:
P. Roy Vagelos
|
| supportedField |
biomedical research
ⓘ
medical education ⓘ |
| supportedInstitution | Columbia University Vagelos College of Physicians and Surgeons ⓘ |
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: Diana Vagelos Description of subject: Diana Vagelos is a philanthropist and benefactor whose support, alongside that of her husband P. Roy Vagelos, has been instrumental in advancing medical education and research at Columbia University.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
Vagelos Life Sciences and Management Program at the University of Pennsylvania named in his honor
→
namedAfter
→
Diana Vagelos
ⓘ
subject surface form:
Vagelos Life Sciences and Management Program