Michael Spence
E665196
Michael Spence is a Nobel Prize–winning American economist best known for his work on signaling theory in markets with asymmetric information.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Michael Spence canonical | 5 |
| A. Michael Spence | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7453571 — 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 Spence Context triple: [Michael Spence, name, Michael Spence]
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A.
Michael Spence
Michael Spence is an Australian legal scholar and university leader who has served as the head of major universities, including University College London.
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B.
Karl E. Case
Karl E. Case was an American economist best known for co-developing the widely used Case-Shiller Home Price Index that tracks U.S. residential real estate prices.
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C.
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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D.
Dale T. Mortensen
Dale T. Mortensen was an American economist and Nobel laureate renowned for his pioneering work on search and matching theory in labor economics.
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E.
Glenn Hubbard
Glenn Hubbard is an American economist and academic leader known for serving as dean of Columbia Business School and as a former chairman of the U.S. Council of Economic Advisers.
- 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 Spence Target entity description: Michael Spence is a Nobel Prize–winning American economist best known for his work on signaling theory in markets with asymmetric information.
-
A.
Michael Spence
Michael Spence is an Australian legal scholar and university leader who has served as the head of major universities, including University College London.
-
B.
Karl E. Case
Karl E. Case was an American economist best known for co-developing the widely used Case-Shiller Home Price Index that tracks U.S. residential real estate prices.
-
C.
Joseph Stiglitz
Joseph Stiglitz is a Nobel Prize–winning American economist renowned for his work on information asymmetry, inequality, and critiques of unregulated markets.
-
D.
Dale T. Mortensen
Dale T. Mortensen was an American economist and Nobel laureate renowned for his pioneering work on search and matching theory in labor economics.
-
E.
Glenn Hubbard
Glenn Hubbard is an American economist and academic leader known for serving as dean of Columbia Business School and as a former chairman of the U.S. Council of Economic Advisers.
- F. None of above. chosen
Statements (44)
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 Spence Description of subject: Michael Spence is a Nobel Prize–winning American economist best known for his work on signaling theory in markets with asymmetric information.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.