Orley Ashenfelter
E795881
Orley Ashenfelter is an American labor economist known for pioneering empirical methods in labor economics and mentoring influential economists, including Nobel laureate David Card.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Orley Ashenfelter canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9402938 — 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: Orley Ashenfelter Context triple: [David Card, doctoralAdvisor, Orley Ashenfelter]
-
A.
Mortimer Mishkin
Mortimer Mishkin was an American neuropsychologist renowned for his pioneering work on the brain mechanisms underlying memory and perception, particularly through lesion studies in primates.
-
B.
Bernard A. Friedman
Bernard A. Friedman is a United States federal judge known for his rulings on significant civil rights and constitutional law cases.
-
C.
Allan Loeb
Allan Loeb is an American screenwriter and producer known for writing films such as "Wall Street: Money Never Sleeps," "21," and "The Switch."
-
D.
Ben Sobel
Ben Sobel is a neurotic psychiatrist who becomes entangled with a mob boss as his reluctant therapist in the comedy film "Analyze This."
-
E.
David Sachs
David Sachs is the central character of the television series "Dads," around whom the show's comedic family and workplace situations revolve.
- 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: Orley Ashenfelter Target entity description: Orley Ashenfelter is an American labor economist known for pioneering empirical methods in labor economics and mentoring influential economists, including Nobel laureate David Card.
-
A.
Mortimer Mishkin
Mortimer Mishkin was an American neuropsychologist renowned for his pioneering work on the brain mechanisms underlying memory and perception, particularly through lesion studies in primates.
-
B.
Bernard A. Friedman
Bernard A. Friedman is a United States federal judge known for his rulings on significant civil rights and constitutional law cases.
-
C.
Allan Loeb
Allan Loeb is an American screenwriter and producer known for writing films such as "Wall Street: Money Never Sleeps," "21," and "The Switch."
-
D.
Ben Sobel
Ben Sobel is a neurotic psychiatrist who becomes entangled with a mob boss as his reluctant therapist in the comedy film "Analyze This."
-
E.
David Sachs
David Sachs is the central character of the television series "Dads," around whom the show's comedic family and workplace situations revolve.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
economist
ⓘ
human ⓘ |
| awardReceived |
Frisch Medal
NERFINISHED
ⓘ
IZA Prize in Labor Economics NERFINISHED ⓘ |
| birthPlace | San Francisco, California NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| dateOfBirth | 1942 ⓘ |
| editorOf |
American Economic Review
NERFINISHED
ⓘ
Journal of Labor Economics NERFINISHED ⓘ |
| educatedAt |
Claremont McKenna College
NERFINISHED
ⓘ
Princeton University ⓘ |
| employer | Princeton University ⓘ |
| familyName | Ashenfelter NERFINISHED ⓘ |
| fieldOfWork |
applied econometrics
ⓘ
labor economics ⓘ law and economics ⓘ wine economics ⓘ |
| givenName | Orley NERFINISHED ⓘ |
| hasAcademicAdvisor | Zvi Griliches NERFINISHED ⓘ |
| hasDoctoralStudent |
Alan Krueger
NERFINISHED
ⓘ
David Card NERFINISHED ⓘ Joshua Angrist NERFINISHED ⓘ |
| influenced |
Alan Krueger
NERFINISHED
ⓘ
David Card NERFINISHED ⓘ Joshua Angrist NERFINISHED ⓘ |
| knownFor |
natural experiment methodology in economics
ⓘ
pioneering empirical methods in labor economics ⓘ program evaluation in labor economics ⓘ research on labor market discrimination ⓘ research on minimum wages ⓘ research on returns to education ⓘ research on trade unions ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf |
American Academy of Arts and Sciences
ⓘ
Econometric Society NERFINISHED ⓘ |
| notableStudent |
Alan Krueger
NERFINISHED
ⓘ
David Card NERFINISHED ⓘ Joshua Angrist NERFINISHED ⓘ |
| notableWork |
“Estimating the Effect of Training Programs on Earnings”
NERFINISHED
ⓘ
“Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs” NERFINISHED ⓘ “Wine Vintage Quality and the Weather” NERFINISHED ⓘ |
| occupation |
economist
ⓘ
university teacher ⓘ |
| positionHeld |
Joseph Douglas Green 1895 Professor of Economics
ⓘ
director of the Industrial Relations Section at Princeton University ⓘ |
| sexOrGender | male ⓘ |
| workLocation | Princeton, New Jersey NERFINISHED ⓘ |
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: Orley Ashenfelter Description of subject: Orley Ashenfelter is an American labor economist known for pioneering empirical methods in labor economics and mentoring influential economists, including Nobel laureate David Card.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.