Triple

T11299716
Position Surface form Disambiguated ID Type / Status
Subject Hair (1979 film) E267551 entity
Predicate basedOn P98 FINISHED
Object Hair (musical) E583054 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: Hair (musical) | Statement: [Hair (1979 film), basedOn, Hair (musical)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hair (musical)
Context triple: [Hair (1979 film), basedOn, Hair (musical)]
  • A. Hair (Broadway revival) chosen
    Hair (Broadway revival) is a modern Broadway staging of the landmark 1960s rock musical about love, peace, and the counterculture movement.
  • B. Hairspray
    Hairspray is a popular musical film and stage production set in 1960s Baltimore that follows a teenager’s fight against racial segregation through a local TV dance show.
  • C. Torch Song
    "Torch Song" is a 1953 American musical drama film starring Joan Crawford as a demanding Broadway star whose life and career are challenged by a blind pianist.
  • D. Hamilton (musical)
    Hamilton is a critically acclaimed Broadway musical by Lin-Manuel Miranda that blends hip-hop, R&B, and traditional show tunes to tell the story of American Founding Father Alexander Hamilton.
  • E. SMASH
    SMASH is an educational program focused on advancing STEM opportunities and equity for underrepresented high school and college students.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a3616c8190a8fd23ca67463806 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a4af56881908cc395b6687d40a9 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:32 p.m.