Triple

T18078555
Position Surface form Disambiguated ID Type / Status
Subject David Raksin E432623 entity
Predicate workedOn P3 FINISHED
Object The Bad and the Beautiful 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: The Bad and the Beautiful | Statement: [David Raksin, workedOn, The Bad and the Beautiful]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bad and the Beautiful
Context triple: [David Raksin, workedOn, The Bad and the Beautiful]
  • A. The Bad and the Beautiful chosen
    The Bad and the Beautiful is a 1952 American film noir–style drama about the ruthless rise of a Hollywood producer, acclaimed for its incisive look at the movie industry and its multiple Academy Award-winning cinematography.
  • B. The Smell of Success
    The Smell of Success is a comedy film produced by Beau Flynn, centered on the quirky world of manure sales in mid-20th-century America.
  • C. Glamour of Hollywood
    Glamour of Hollywood is a 1930s American drama film centered on the allure and challenges of life in the Hollywood film industry.
  • D. Madame Hollywood
    "Madame Hollywood" is a popular electroclash track by French DJ and producer Miss Kittin, known for its minimalist beats and deadpan vocal style.
  • E. Valley of the Dolls
    Valley of the Dolls is a 1967 drama film, based on Jacqueline Susann’s bestselling novel, that follows three women navigating fame, addiction, and personal turmoil in the entertainment industry.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.