Triple

T13882692
Position Surface form Disambiguated ID Type / Status
Subject Vera Simpson E333756 entity
Predicate appearsIn P795 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: [Vera Simpson, appearsIn, Pal Joey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pal Joey
Context triple: [Vera Simpson, appearsIn, 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. Girls and Dolls
    Girls and Dolls is a short film directed by Drena De Niro that explores the inner lives and relationships of young women.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0bea4d248190bcbcea9ea875c5f9 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd27f8f388819096c7c33b90f9ac4c completed May 8, 2026, 12:02 a.m.
Created at: April 9, 2026, 10:15 p.m.