Triple

T2342013
Position Surface form Disambiguated ID Type / Status
Subject Stanley Donen E45045 entity
Predicate directed P7373 FINISHED
Object The Pajama Game E258815 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: The Pajama Game | Statement: [Stanley Donen, directed, The Pajama Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Pajama Game
Context triple: [Stanley Donen, directed, The Pajama Game]
  • A. The Pajama Game chosen
    The Pajama Game is a 1957 musical film adaptation of the Broadway show, known for its lively depiction of labor-management romance in a pajama factory and its classic choreography by Bob Fosse.
  • B. Babes in Arms
    Babes in Arms is a 1939 American musical film, based on the Rodgers and Hart stage musical, best known for starring Judy Garland and Mickey Rooney as aspiring performers putting on a show.
  • C. Babes in Arms
    Babes in Arms is a 1937 Broadway musical by Richard Rodgers and Lorenz Hart, best known for songs like "My Funny Valentine" and "The Lady Is a Tramp."
  • D. Can-Can
    Can-Can is a 1953 Broadway musical by Cole Porter, best known for its lively Parisian setting and memorable score featuring songs like "I Love Paris."
  • E. Guys and Dolls
    Guys and Dolls is a classic Broadway musical, later adapted into a popular film, known for its colorful depiction of New York gamblers and showgirls and its celebrated Frank Loesser score.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ad01fc81909e386986e9acc989 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88113988190b89abfc01f5bf6f4 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:52 p.m.