Daniel P. Hanley
E114053
Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Daniel P. Hanley canonical | 19 |
How this entity was disambiguated
This entity first appeared as the object of triple T179860 — 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: Daniel P. Hanley Context triple: [A Beautiful Mind (2001 film), editedBy, Daniel P. Hanley]
-
A.
Daniel P. Higgins
Daniel P. Higgins was an architect associated with the design work on the Jefferson Memorial in Washington, D.C.
-
B.
Patrick E. Haggerty
Patrick E. Haggerty was an American engineer and business executive who played a pivotal role in the early semiconductor industry and the growth of Texas Instruments into a major technology company.
-
C.
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.
-
D.
Thomas J. Biersteker
Thomas J. Biersteker is an American political scientist and international relations scholar known for his work on global governance, sanctions, and international security.
-
E.
John V. L. Hogan
John V. L. Hogan was an American radio engineer and pioneer in early radio technology and broadcasting.
- 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: Daniel P. Hanley Target entity description: Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
-
A.
Daniel P. Higgins
Daniel P. Higgins was an architect associated with the design work on the Jefferson Memorial in Washington, D.C.
-
B.
Patrick E. Haggerty
Patrick E. Haggerty was an American engineer and business executive who played a pivotal role in the early semiconductor industry and the growth of Texas Instruments into a major technology company.
-
C.
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.
-
D.
Thomas J. Biersteker
Thomas J. Biersteker is an American political scientist and international relations scholar known for his work on global governance, sanctions, and international security.
-
E.
John V. L. Hogan
John V. L. Hogan was an American radio engineer and pioneer in early radio technology and broadcasting.
- F. None of above. chosen
Statements (13)
| Predicate | Object |
|---|---|
| instanceOf |
American film editor
ⓘ
film editor ⓘ person ⓘ |
| collaboratedWith | Ron Howard ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| fieldOfWork | film editing ⓘ |
| genre | Hollywood cinema ⓘ |
| industry | film industry ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableFor | long-time collaboration with director Ron Howard ⓘ |
| notableRole | editor on Ron Howard-directed films ⓘ |
| occupation | film editor ⓘ |
| workedOn | major Hollywood films ⓘ |
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: Daniel P. Hanley Description of subject: Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
Referenced by (19)
Full triples — surface form annotated when it differs from this entity's canonical label.