James Honaker
E42167
James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
All labels observed (1)
| Label | Occurrences |
|---|---|
| James Honaker canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T31020 — 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: James Honaker Context triple: [Gary King, coAuthor, James Honaker]
-
A.
Alan M. Garber
Alan M. Garber is an American physician-economist and academic leader known for his work in health policy and for serving in top administrative roles at Harvard University.
-
B.
James Rogers
James Rogers is a common personal name shared by numerous individuals across various fields, including politics, academia, sports, and the arts.
-
C.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
-
D.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
-
E.
Jonathan Corwin
Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
- 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: James Honaker Target entity description: James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
-
A.
Alan M. Garber
Alan M. Garber is an American physician-economist and academic leader known for his work in health policy and for serving in top administrative roles at Harvard University.
-
B.
James Rogers
James Rogers is a common personal name shared by numerous individuals across various fields, including politics, academia, sports, and the arts.
-
C.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
-
D.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
-
E.
Jonathan Corwin
Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
political scientist ⓘ statistician ⓘ |
| coauthorWith | Gary King ⓘ |
| contributedTo | development of methods for missing data in social science research ⓘ |
| fieldOfWork |
political methodology
ⓘ
quantitative political science ⓘ statistics ⓘ |
| hasCoauthor |
Gary King
ⓘ
other political scientists ⓘ |
| hasDiscipline |
political science
ⓘ
statistics ⓘ |
| hasPublicationType |
journal articles
ⓘ
methodological papers ⓘ |
| hasResearchArea |
Bayesian statistics
ⓘ
causal inference ⓘ computational social science ⓘ missing data ⓘ |
| influencedField |
applied statistics in political science
ⓘ
political methodology ⓘ |
| knownFor |
methods for handling missing data
ⓘ
work on statistical methods in political science ⓘ |
| usesMethod |
Bayesian methods
ⓘ
computational methods ⓘ statistical modeling ⓘ |
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: James Honaker Description of subject: James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.