Leo Shuken
E576941
Leo Shuken was an American film composer and orchestrator known for his work on numerous Hollywood scores during the mid-20th century.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Leo Shuken canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6245504 — 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: Leo Shuken Context triple: [A Blueprint for Murder, musicBy, Leo Shuken]
-
A.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
-
B.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
C.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
-
D.
Kyuji Fujikawa
Kyuji Fujikawa is a Japanese professional baseball pitcher best known as a dominant closer in Nippon Professional Baseball and a longtime star for the Hanshin Tigers.
-
E.
Shoichi Sakata
Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
- 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: Leo Shuken Target entity description: Leo Shuken was an American film composer and orchestrator known for his work on numerous Hollywood scores during the mid-20th century.
-
A.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
-
B.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
C.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
-
D.
Kyuji Fujikawa
Kyuji Fujikawa is a Japanese professional baseball pitcher best known as a dominant closer in Nippon Professional Baseball and a longtime star for the Hanshin Tigers.
-
E.
Shoichi Sakata
Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
film composer
ⓘ
human ⓘ orchestrator ⓘ |
| activeInPeriod | mid-20th century ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| employer | Hollywood studios ⓘ |
| fieldOfWork |
film music
ⓘ
orchestration ⓘ |
| genre | film score ⓘ |
| industry |
Hollywood film industry
ⓘ
linked to:
Hollywood
|
| languageOfWorkOrName | English ⓘ |
| notableFor |
contributions to American film music
ⓘ
orchestrating numerous Hollywood film scores ⓘ |
| notableWork |
Going My Way (film score)
ⓘ
linked to:
Going My Way
Holiday Inn (film score) ⓘ The Big Sleep (film score) ⓘ |
| occupation |
film composer
ⓘ
orchestrator ⓘ |
| sexOrGender | male ⓘ |
| workedOn | film scores ⓘ |
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: Leo Shuken Description of subject: Leo Shuken was an American film composer and orchestrator known for his work on numerous Hollywood scores during the mid-20th century.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.