BMI Film Music Award for John Williams
E302600
The BMI Film Music Award for John Williams is a recognition given by Broadcast Music, Inc. honoring John Williams’s acclaimed score for the film "The Terminal."
All labels observed (1)
| Label | Occurrences |
|---|---|
| BMI Film Music Award for John Williams canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2834449 — 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: BMI Film Music Award for John Williams Context triple: [The Terminal, award, BMI Film Music Award for John Williams]
-
A.
Academy Award for Best Original Score
The Academy Award for Best Original Score is an Oscar given annually to honor the most outstanding original music composed specifically for a motion picture.
-
B.
Grammy Award for Best Score Soundtrack for Visual Media
The Grammy Award for Best Score Soundtrack for Visual Media is a prestigious music industry honor recognizing outstanding original score albums composed for films, television, and other visual media.
-
C.
Close Encounters of the Third Kind film score
The "Close Encounters of the Third Kind" film score is John Williams’s landmark, thematically rich orchestral soundtrack renowned for its innovative use of a five-note motif to communicate with extraterrestrials.
-
D.
Golden Globe Award for Best Original Score
The Golden Globe Award for Best Original Score is a prestigious film industry honor presented annually by the Hollywood Foreign Press Association to recognize outstanding achievement in motion picture music composition.
-
E.
A Beautiful Mind (film score)
A Beautiful Mind (film score) is James Horner’s Academy Award–winning musical soundtrack for the 2001 biographical drama film about mathematician John Nash, noted for its lyrical themes and emotional depth.
- 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: BMI Film Music Award for John Williams Target entity description: The BMI Film Music Award for John Williams is a recognition given by Broadcast Music, Inc. honoring John Williams’s acclaimed score for the film "The Terminal."
-
A.
Academy Award for Best Original Score
The Academy Award for Best Original Score is an Oscar given annually to honor the most outstanding original music composed specifically for a motion picture.
-
B.
Grammy Award for Best Score Soundtrack for Visual Media
The Grammy Award for Best Score Soundtrack for Visual Media is a prestigious music industry honor recognizing outstanding original score albums composed for films, television, and other visual media.
-
C.
Close Encounters of the Third Kind film score
The "Close Encounters of the Third Kind" film score is John Williams’s landmark, thematically rich orchestral soundtrack renowned for its innovative use of a five-note motif to communicate with extraterrestrials.
-
D.
Golden Globe Award for Best Original Score
The Golden Globe Award for Best Original Score is a prestigious film industry honor presented annually by the Hollywood Foreign Press Association to recognize outstanding achievement in motion picture music composition.
-
E.
A Beautiful Mind (film score)
A Beautiful Mind (film score) is James Horner’s Academy Award–winning musical soundtrack for the 2001 biographical drama film about mathematician John Nash, noted for its lyrical themes and emotional depth.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
award received by a person
ⓘ
film music award ⓘ music award ⓘ |
| associatedWithPerson | John Williams ⓘ |
| associatedWithWork |
The Terminal
ⓘ
surface form:
"The Terminal"
|
| awardedTo | John Williams ⓘ |
| awardFor | film score for "The Terminal" ⓘ |
| awardingOrganizationAbbreviation | BMI ⓘ |
| awardingOrganizationType | performing rights organization ⓘ |
| countryOfAwardingBody |
United States of America
ⓘ
surface form:
United States
|
| field |
film music
ⓘ
film scoring ⓘ |
| genreOfWorkAwarded | film score ⓘ |
| hasRecipient | John Williams ⓘ |
| honours |
John Williams
ⓘ
score for "The Terminal" ⓘ |
| industry |
entertainment industry
ⓘ
film industry ⓘ |
| languageOfAwardingBody | English ⓘ |
| namedAfter | John Williams ⓘ |
| organizer |
Broadcast Music Inc.
ⓘ
surface form:
Broadcast Music, Inc.
|
| partOf |
BMI Film & TV Award
ⓘ
surface form:
BMI Film & TV Awards
|
| presentedBy |
Broadcast Music Inc.
ⓘ
surface form:
Broadcast Music, Inc.
|
| workAwarded |
The Terminal
ⓘ
surface form:
"The Terminal"
|
| workAwardedType | feature film ⓘ |
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: BMI Film Music Award for John Williams Description of subject: The BMI Film Music Award for John Williams is a recognition given by Broadcast Music, Inc. honoring John Williams’s acclaimed score for the film "The Terminal."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.