Michael Kremer (honorary doctorate, not student)
E173279
Michael Kremer is an American development economist and Nobel laureate known for his pioneering work on poverty reduction, randomized controlled trials in economics, and innovative approaches to global health and education.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Kremer (honorary doctorate, not student) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1510357 — 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: Michael Kremer (honorary doctorate, not student) Context triple: [Uppsala University, hasNotableAlumnus, Michael Kremer (honorary doctorate, not student)]
-
A.
James Heckman
James Heckman is a Nobel Prize–winning American economist renowned for his work on econometrics and the economics of human development, particularly the importance of early childhood education and skill formation.
-
B.
Eric Mazur
Eric Mazur is a physicist and Harvard University professor renowned for pioneering peer instruction and innovative methods in physics education.
-
C.
Pol Antràs
Pol Antràs is a Spanish economist known for his influential research on international trade, global value chains, and firm organization, and for serving as a professor of economics at Harvard University.
-
D.
Kenneth Brian Edmonds
Kenneth Brian Edmonds, better known by his stage name Babyface, is an American singer, songwriter, and record producer renowned for his influential contributions to R&B music and numerous hit songs and albums.
-
E.
Dr. Aaron Glassman
Dr. Aaron Glassman is a fictional neurosurgeon and hospital president on the television series "The Good Doctor," known for his mentorship and paternal relationship with the protagonist, Dr. Shaun Murphy.
- 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: Michael Kremer (honorary doctorate, not student) Target entity description: Michael Kremer is an American development economist and Nobel laureate known for his pioneering work on poverty reduction, randomized controlled trials in economics, and innovative approaches to global health and education.
-
A.
James Heckman
James Heckman is a Nobel Prize–winning American economist renowned for his work on econometrics and the economics of human development, particularly the importance of early childhood education and skill formation.
-
B.
Eric Mazur
Eric Mazur is a physicist and Harvard University professor renowned for pioneering peer instruction and innovative methods in physics education.
-
C.
Pol Antràs
Pol Antràs is a Spanish economist known for his influential research on international trade, global value chains, and firm organization, and for serving as a professor of economics at Harvard University.
-
D.
Kenneth Brian Edmonds
Kenneth Brian Edmonds, better known by his stage name Babyface, is an American singer, songwriter, and record producer renowned for his influential contributions to R&B music and numerous hit songs and albums.
-
E.
Dr. Aaron Glassman
Dr. Aaron Glassman is a fictional neurosurgeon and hospital president on the television series "The Good Doctor," known for his mentorship and paternal relationship with the protagonist, Dr. Shaun Murphy.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
Nobel laureate in Economics
ⓘ
development economist ⓘ economist ⓘ human ⓘ |
| awardReceived |
MacArthur Fellowship
ⓘ
Nobel Memorial Prize in Economic Sciences ⓘ honorary doctorate ⓘ |
| citizenship | American ⓘ |
| contributedTo | establishing randomized controlled trials as a standard tool in development economics ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| fieldOfWork |
development economics
ⓘ
education economics ⓘ global health ⓘ poverty reduction ⓘ randomized controlled trials in economics ⓘ |
| gender | male ⓘ |
| hasHonorificTitle | Nobel laureate ⓘ |
| influenced | evidence-based policy in international development ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableFor |
innovative approaches to education in developing countries
ⓘ
innovative approaches to global health policy ⓘ pioneering use of randomized controlled trials in development economics ⓘ research on poverty reduction ⓘ |
| occupation |
economist
ⓘ
university professor ⓘ |
| researchFocus |
impact evaluation of development interventions
ⓘ
policies to improve education outcomes in low-income countries ⓘ policies to improve global health in low-income countries ⓘ use of randomized field experiments in economics ⓘ |
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: Michael Kremer (honorary doctorate, not student) Description of subject: Michael Kremer is an American development economist and Nobel laureate known for his pioneering work on poverty reduction, randomized controlled trials in economics, and innovative approaches to global health and education.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.