John E. Keane
E931622
John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
All labels observed (1)
| Label | Occurrences |
|---|---|
| John E. Keane canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10588921 — 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: John E. Keane Context triple: [Wives and Daughters, composer, John E. Keane]
-
A.
John M. Keane
John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
-
B.
Thomas J. Sheehan
Thomas J. Sheehan was a U.S. Army officer best known for leading the defense of Fort Ridgely during the U.S.–Dakota War of 1862.
-
C.
Richard M. Linnehan
Richard M. Linnehan is a NASA astronaut and veterinarian best known for his spacewalks and work on multiple Space Shuttle missions, including servicing the Hubble Space Telescope.
-
D.
John J. McAuliffe
John J. McAuliffe is an American Catholic priest and missionary of the Society of African Missions who served as a bishop in Nigeria.
-
E.
James T. O'Donohoe
James T. O'Donohoe was an American screenwriter active during the silent and early sound film era.
- 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: John E. Keane Target entity description: John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
-
A.
John M. Keane
John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
-
B.
Thomas J. Sheehan
Thomas J. Sheehan was a U.S. Army officer best known for leading the defense of Fort Ridgely during the U.S.–Dakota War of 1862.
-
C.
Richard M. Linnehan
Richard M. Linnehan is a NASA astronaut and veterinarian best known for his spacewalks and work on multiple Space Shuttle missions, including servicing the Hubble Space Telescope.
-
D.
John J. McAuliffe
John J. McAuliffe is an American Catholic priest and missionary of the Society of African Missions who served as a bishop in Nigeria.
-
E.
James T. O'Donohoe
James T. O'Donohoe was an American screenwriter active during the silent and early sound film era.
- F. None of above. chosen
Statements (7)
| Predicate | Object |
|---|---|
| instanceOf |
composer
ⓘ
person ⓘ |
| knownFor |
film scores
ⓘ
score for the adaptation of "Wives and Daughters" ⓘ television scores ⓘ |
| notableWork | "Wives and Daughters" (television adaptation score) NERFINISHED ⓘ |
| occupation | composer ⓘ |
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: John E. Keane Description of subject: John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.