Kevin M. Quinn
E606513
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kevin M. Quinn canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6498709 — 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: Kevin M. Quinn Context triple: [Andrew D. Martin, coAuthor, Kevin M. Quinn]
-
A.
Kevin J. O'Connor
Kevin J. O'Connor is an American character actor known for his eccentric and memorable supporting roles in films such as "There Will Be Blood" and "The Mummy."
-
B.
Matthew J. Driscoll
Matthew J. Driscoll is an American politician and public official from New York who has served as mayor of Syracuse and later held statewide leadership roles in transportation and infrastructure.
-
C.
Michael D. McDonough
Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
-
D.
Timothy J. Geraghty
Timothy J. Geraghty is a retired U.S. Marine Corps general best known for commanding American forces during the Multinational Force in Lebanon deployment in the early 1980s.
-
E.
Michael J. Durkan
Michael J. Durkan is an individual notable enough to be recognized as a bearer of the Durkan surname, though specific widely known public details about him are limited.
- 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: Kevin M. Quinn Target entity description: Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
-
A.
Kevin J. O'Connor
Kevin J. O'Connor is an American character actor known for his eccentric and memorable supporting roles in films such as "There Will Be Blood" and "The Mummy."
-
B.
Matthew J. Driscoll
Matthew J. Driscoll is an American politician and public official from New York who has served as mayor of Syracuse and later held statewide leadership roles in transportation and infrastructure.
-
C.
Michael D. McDonough
Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
-
D.
Timothy J. Geraghty
Timothy J. Geraghty is a retired U.S. Marine Corps general best known for commanding American forces during the Multinational Force in Lebanon deployment in the early 1980s.
-
E.
Michael J. Durkan
Michael J. Durkan is an individual notable enough to be recognized as a bearer of the Durkan surname, though specific widely known public details about him are limited.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
political scientist ⓘ quantitative methodologist ⓘ |
| citizenship | United States of America ⓘ |
| fieldOfWork |
empirical legal studies
ⓘ
political science ⓘ quantitative methodology ⓘ statistics ⓘ |
| gender | male ⓘ |
| hasAcademicDiscipline |
legal studies
ⓘ
political methodology ⓘ statistics ⓘ |
| hasNotableContribution |
development and application of statistical models for judicial decision-making
ⓘ
quantitative analysis of legal institutions ⓘ use of Bayesian methods in political science ⓘ |
| hasResearchArea |
Bayesian statistics
ⓘ
applied statistics ⓘ causal inference in the social sciences ⓘ courts and law ⓘ ideal point estimation ⓘ judicial politics ⓘ measurement models in political science ⓘ |
| knownFor |
empirical legal studies research
ⓘ
quantitative methods in political science ⓘ statistical modeling ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableFor |
application of advanced quantitative methods to legal data
ⓘ
interdisciplinary work at the intersection of law and social science ⓘ |
| occupation | professor ⓘ |
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: Kevin M. Quinn Description of subject: Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.