Triple

T22974072
Position Surface form Disambiguated ID Type / Status
Subject Bros E571264 entity
Predicate musicBy P1952 FINISHED
Object Marc Shaiman NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marc Shaiman | Statement: [Bros, musicBy, Marc Shaiman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Shaiman
Context triple: [Bros, musicBy, Marc Shaiman]
  • A. Marc Shaiman chosen
    Marc Shaiman is an American composer, lyricist, and arranger best known for his work on film scores and Broadway musicals, including the music for "Mary Poppins Returns."
  • B. Andrew Lippa
    Andrew Lippa is an American composer and lyricist known for his work on contemporary musical theatre, including shows such as The Addams Family and Big Fish.
  • C. Alan Menken
    Alan Menken is an American composer and songwriter best known for creating the music to numerous Disney animated films, including "The Little Mermaid," "Beauty and the Beast," and "Aladdin."
  • D. Frank Wildhorn
    Frank Wildhorn is an American composer best known for his work in musical theatre, including hit shows such as Jekyll & Hyde, The Scarlet Pimpernel, and The Civil War.
  • E. Maury Yeston
    Maury Yeston is an American composer and lyricist best known for his work on Broadway musicals such as "Nine," "Titanic," and "Grand Hotel," for which he has won multiple Tony Awards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.