Triple

T5214151
Position Surface form Disambiguated ID Type / Status
Subject Joe Pasternak E117706 entity
Predicate produced P490 FINISHED
Object Three Smart Girls E304705 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: Three Smart Girls | Statement: [Joe Pasternak, produced, Three Smart Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Three Smart Girls
Context triple: [Joe Pasternak, produced, Three Smart Girls]
  • A. Three Smart Girls chosen
    Three Smart Girls is a 1936 American musical comedy film that helped launch Deanna Durbin to stardom and played a key role in revitalizing Universal Pictures’ fortunes.
  • B. Calendar Girls
    Calendar Girls is a 2003 British comedy-drama film, inspired by a true story, about a group of middle-aged women who pose nude for a charity calendar.
  • C. Very Good Girls
    Very Good Girls is a 2013 coming-of-age drama film about two best friends whose bond is tested when they fall for the same young man.
  • D. Good Girls
    Good Girls is an American dark comedy-drama television series about three suburban mothers who turn to crime to solve their financial problems.
  • E. My Girls
    "My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a911d40819086621537274dc0f0 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefe325988190b35e3502f147c9c2 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:47 p.m.