Paul Krugman (honorary doctorate, not student)
E173276
Paul Krugman is a Nobel Prize–winning American economist, columnist, and professor known for his work on international trade, economic geography, and macroeconomic policy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Paul Krugman (honorary doctorate, not student) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1510349 — 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: Paul Krugman (honorary doctorate, not student) Context triple: [Uppsala University, hasNotableAlumnus, Paul Krugman (honorary doctorate, not student)]
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A.
Joseph Stiglitz
Joseph Stiglitz is a Nobel Prize–winning American economist renowned for his work on information asymmetry, inequality, and critiques of unregulated markets.
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B.
Gregory Mankiw
Gregory Mankiw is an American economist known for his influential work in macroeconomics, particularly in developing New Keynesian theory, and for authoring widely used economics textbooks.
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C.
David Romer
David Romer is an influential American macroeconomist known for his work on New Keynesian economics, advanced macroeconomic theory, and widely used graduate-level textbooks.
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D.
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.
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E.
Wassily Leontief
Wassily Leontief was a Nobel Prize–winning economist best known for developing input–output analysis to study the interdependence of sectors in an economy.
- 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: Paul Krugman (honorary doctorate, not student) Target entity description: Paul Krugman is a Nobel Prize–winning American economist, columnist, and professor known for his work on international trade, economic geography, and macroeconomic policy.
-
A.
Joseph Stiglitz
Joseph Stiglitz is a Nobel Prize–winning American economist renowned for his work on information asymmetry, inequality, and critiques of unregulated markets.
-
B.
Gregory Mankiw
Gregory Mankiw is an American economist known for his influential work in macroeconomics, particularly in developing New Keynesian theory, and for authoring widely used economics textbooks.
-
C.
David Romer
David Romer is an influential American macroeconomist known for his work on New Keynesian economics, advanced macroeconomic theory, and widely used graduate-level textbooks.
-
D.
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.
-
E.
Wassily Leontief
Wassily Leontief was a Nobel Prize–winning economist best known for developing input–output analysis to study the interdependence of sectors in an economy.
- F. None of above. chosen
Statements (53)
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: Paul Krugman (honorary doctorate, not student) Description of subject: Paul Krugman is a Nobel Prize–winning American economist, columnist, and professor known for his work on international trade, economic geography, and macroeconomic policy.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.