Triple

T23063251
Position Surface form Disambiguated ID Type / Status
Subject Ruthie Henshall E574961 entity
Predicate notableWork P4 FINISHED
Object Crazy for You NE NERFINISHED

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: Crazy for You | Statement: [Ruthie Henshall, notableWork, Crazy for You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crazy for You
Context triple: [Ruthie Henshall, notableWork, Crazy for You]
  • A. Crazy for You chosen
    Crazy for You is a Tony Award–winning Broadway musical comedy featuring the songs of George and Ira Gershwin, known for its energetic choreography and classic showbiz storyline.
  • B. Crazy for You
    "Crazy for You" is a pop song recorded by American actor and singer David Hasselhoff, known from his music career that gained particular popularity in parts of Europe.
  • C. Broadway Rose
    Broadway Rose is a silent-era film featuring Mae Murray, showcasing her as a glamorous star of early American cinema.
  • 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. Ziegfeld Girl
    Ziegfeld Girl is a 1941 MGM musical drama film that follows the intertwined lives and romances of three women who become performers in the famed Ziegfeld Follies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a1f49c81909db7e0473ec2bb1b completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.