Triple

T8060914
Position Surface form Disambiguated ID Type / Status
Subject Lorenz Hart E188116 entity
Predicate workedOn P3 FINISHED
Object Pal Joey E66282 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: Pal Joey | Statement: [Lorenz Hart, workedOn, Pal Joey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pal Joey
Context triple: [Lorenz Hart, workedOn, Pal Joey]
  • A. Pal Joey chosen
    Pal Joey is a 1940 Rodgers and Hart musical, later adapted into a film, known for its cynical tone, sophisticated score, and the morally ambiguous character of nightclub emcee Joey Evans.
  • B. Hello, Dolly!
    "Hello, Dolly!" is a classic 1964 jazz and pop song, famously performed by Louis Armstrong, that became one of his signature hits and a major crossover success.
  • C. 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."
  • D. 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.
  • E. The Band Wagon
    The Band Wagon is a classic 1953 MGM musical film starring Fred Astaire, celebrated for its sophisticated song-and-dance numbers and backstage showbiz storyline.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcc61c0819085edc26e75c5f6d5 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63d6484c8190b2fd2c2bef179fc4 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.