Daniel Pemberton
E79203
Daniel Pemberton is a British composer known for his innovative and eclectic film scores across major Hollywood and independent productions.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Daniel Pemberton canonical | 58 |
| composer Daniel Pemberton | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T551341 — 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 Pemberton Context triple: [King Arthur: Legend of the Sword, musicBy, Daniel Pemberton]
-
A.
Lorne Balfe
Lorne Balfe is a Scottish composer and producer known for his work on major film, television, and video game scores, often in the action and blockbuster genres.
-
B.
Rupert Gregson-Williams
Rupert Gregson-Williams is a British film and television composer known for scoring major Hollywood productions such as "Wonder Woman," "Aquaman," and "The Crown."
-
C.
Justin Hurwitz
Justin Hurwitz is an American composer best known for his acclaimed film scores, particularly his collaborations with director Damien Chazelle on movies like "La La Land" and "First Man."
-
D.
Alexandre Desplat
Alexandre Desplat is an acclaimed French film composer known for his elegant, emotionally nuanced scores for movies such as The King’s Speech, The Grand Budapest Hotel, and The Shape of Water.
-
E.
Thomas Newman
Thomas Newman is an acclaimed American film composer known for his distinctive, atmospheric scores for movies such as "American Beauty," "The Shawshank Redemption," and "Skyfall."
- 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 Pemberton Target entity description: Daniel Pemberton is a British composer known for his innovative and eclectic film scores across major Hollywood and independent productions.
-
A.
Lorne Balfe
Lorne Balfe is a Scottish composer and producer known for his work on major film, television, and video game scores, often in the action and blockbuster genres.
-
B.
Rupert Gregson-Williams
Rupert Gregson-Williams is a British film and television composer known for scoring major Hollywood productions such as "Wonder Woman," "Aquaman," and "The Crown."
-
C.
Justin Hurwitz
Justin Hurwitz is an American composer best known for his acclaimed film scores, particularly his collaborations with director Damien Chazelle on movies like "La La Land" and "First Man."
-
D.
Alexandre Desplat
Alexandre Desplat is an acclaimed French film composer known for his elegant, emotionally nuanced scores for movies such as The King’s Speech, The Grand Budapest Hotel, and The Shape of Water.
-
E.
Thomas Newman
Thomas Newman is an acclaimed American film composer known for his distinctive, atmospheric scores for movies such as "American Beauty," "The Shawshank Redemption," and "Skyfall."
- F. None of above. chosen
Statements (52)
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 Pemberton Description of subject: Daniel Pemberton is a British composer known for his innovative and eclectic film scores across major Hollywood and independent productions.
Referenced by (59)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
The Man from U.N.C.L.E.
subject linked to:
film "Steve Jobs" (2015)
linked to: Daniel Pemberton
subject linked to:
"Strange Game"
subject linked to:
"Strange Game"