Triple

T3406052
Position Surface form Disambiguated ID Type / Status
Subject Adolph Green E71773 entity
Predicate workedOn P3 FINISHED
Object Applause (musical) E282636 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: Applause (musical) | Statement: [Adolph Green, workedOn, Applause (musical)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Applause (musical)
Context triple: [Adolph Green, workedOn, Applause (musical)]
  • A. Applause (musical) chosen
    Applause is a 1970 Broadway musical adaptation of the film "All About Eve," featuring music by Charles Strouse and lyrics by Lee Adams.
  • B. On Broadway
    "On Broadway" is a jazz-infused cover of the classic song popularized by George Benson, known for its virtuosic guitar work and smooth vocal style.
  • C. Curtains (musical)
    Curtains is a comedic murder-mystery musical set in 1950s Boston, featuring music and lyrics by Kander and Ebb and a book by Rupert Holmes.
  • D. Babes on Broadway
    Babes on Broadway is a 1941 MGM musical film starring Judy Garland and Mickey Rooney as aspiring performers putting on a show to help underprivileged children.
  • E. 9 to 5: The Musical
    9 to 5: The Musical is a Broadway stage adaptation of the 1980 film "9 to 5," featuring music and lyrics by Dolly Parton and a book by Patricia Resnick.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ec68c88190913df5f6cafad9e9 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd8c0ec8190bd44d33fc031c845 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.