Triple

T3238956
Position Surface form Disambiguated ID Type / Status
Subject 9 to 5 E67921 entity
Predicate partOfSoundtrack P2152 FINISHED
Object 9 to 5 (film) E340951 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: 9 to 5 (film) | Statement: [9 to 5, partOfSoundtrack, 9 to 5 (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 9 to 5 (film)
Context triple: [9 to 5, partOfSoundtrack, 9 to 5 (film)]
  • A. Nine to Five chosen
    Nine to Five is a popular country-pop song by Dolly Parton, best known as the theme for the 1980 film of the same name about working women challenging their sexist boss.
  • B. The Whole Nine Yards
    The Whole Nine Yards is a 2000 crime-comedy film about a mild-mannered dentist whose life is upended when a notorious hitman moves in next door.
  • C. 9 to 5: The Musical
    9 to 5: The Musical is a Broadway stage adaptation of the 1980 film "9 to 5," featuring music and lyrics by Dolly Parton and a book by Patricia Resnick.
  • D. Number 9 Films
    Number 9 Films is a British film production company known for producing acclaimed independent and arthouse films.
  • E. Living at the Movies
    Living at the Movies is a poetry collection by American writer and punk icon Jim Carroll, known for its vivid, streetwise depictions of urban life and youth.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eadeff481909bd48cdf51044f86 completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:08 p.m.