Michael Starobin
E310997
Michael Starobin is a Tony Award–winning American orchestrator and arranger known for his work on numerous Broadway musicals.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Starobin canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T1894780 — 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: Michael Starobin Context triple: [The 25th Annual Putnam County Spelling Bee, orchestrator, Michael Starobin]
-
A.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
B.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
C.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
D.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
E.
Paul Feldman
Paul Feldman is a computer scientist and cryptographer known for his work on digital signatures and other foundational topics in modern cryptography.
- 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: Michael Starobin Target entity description: Michael Starobin is a Tony Award–winning American orchestrator and arranger known for his work on numerous Broadway musicals.
-
A.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
B.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
C.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
D.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
E.
Paul Feldman
Paul Feldman is a computer scientist and cryptographer known for his work on digital signatures and other foundational topics in modern cryptography.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
Tony Award winner
ⓘ
arranger ⓘ orchestrator ⓘ person ⓘ |
| awardReceived | Tony Award for Best Orchestrations ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| fieldOfWork |
Broadway orchestration
ⓘ
musical theatre ⓘ |
| genre | musical theatre ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableWork |
A New Brain
ⓘ
Assassins ⓘ Closer Than Ever ⓘ Falsettos ⓘ In Trousers ⓘ My Favorite Year ⓘ Next to Normal ⓘ Once on This Island ⓘ Rags ⓘ Songs for a New World ⓘ Sunday in the Park with George ⓘ The 25th Annual Putnam County Spelling Bee ⓘ The Last Five Years ⓘ The Mystery of Edwin Drood (musical) ⓘ
surface form:
The Mystery of Edwin Drood
Yentl (1983 film) ⓘ
surface form:
Yentl
orchestrations for Broadway musicals ⓘ |
| occupation |
composer
ⓘ
conductor ⓘ music arranger ⓘ orchestrator ⓘ |
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: Michael Starobin Description of subject: Michael Starobin is a Tony Award–winning American orchestrator and arranger known for his work on numerous Broadway musicals.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
If/Then (Broadway production)
musical "Sunday in the Park with George" (indirectly via the painting)
→
originalOrchestrator
→
Michael Starobin
ⓘ
subject surface form:
Sunday in the Park with George