Triple

T5746781
Position Surface form Disambiguated ID Type / Status
Subject Liza with a Z E126752 entity
Predicate musicBy P1952 FINISHED
Object John Kander E372093 NE FINISHED

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: John Kander | Statement: [Liza with a Z, musicBy, John Kander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Kander
Context triple: [Liza with a Z, musicBy, John Kander]
  • A. John Kander chosen
    John Kander is an American composer best known for his Broadway musicals, particularly his long-running collaboration with lyricist Fred Ebb on shows like "Cabaret" and "Chicago."
  • B. Marvin Hamlisch
    Marvin Hamlisch was an American composer and conductor renowned for his award-winning work in film, theater, and popular music, including multiple Oscars, Grammys, and a Pulitzer Prize.
  • C. Johnny Mandel
    Johnny Mandel was an American composer and arranger renowned for his film and television scores, including the iconic theme for M*A*S*H and numerous jazz and pop standards.
  • D. Jerry Bock
    Jerry Bock was an American musical theatre composer best known for his Tony Award-winning score for the landmark Broadway musical "Fiddler on the Roof."
  • E. Jule Styne
    Jule Styne was a prolific American composer best known for his Broadway and film musical scores, including classics like "Gypsy" and "Funny Girl."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02885b0288190835809681a364b1f completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a167f2508190a8dd507f237e771b completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:48 p.m.