Triple

T15493693
Position Surface form Disambiguated ID Type / Status
Subject Laura Ziskin E378759 entity
Predicate producerOf P490 FINISHED
Object Murphy’s Romance E188692 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: Murphy’s Romance | Statement: [Laura Ziskin, producerOf, Murphy’s Romance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murphy’s Romance
Context triple: [Laura Ziskin, producerOf, Murphy’s Romance]
  • A. Murphy's Romance chosen
    Murphy's Romance is a 1985 romantic comedy-drama film starring James Garner as a charming small-town pharmacist opposite Sally Field.
  • B. The Marrying Man
    The Marrying Man is a 1991 romantic comedy film starring Alec Baldwin and Kim Basinger, centered on a playboy whose repeated marriages to the same woman lead to a series of comedic misadventures.
  • C. The Tender Husband
    The Tender Husband is an early 18th-century English comedy play by Sir Richard Steele that satirizes marriage, manners, and social pretensions.
  • D. The World of Mr. Sweeney
    The World of Mr. Sweeney is an American television sitcom best known for featuring actor Tom Bosley in one of his early starring roles.
  • E. My Favorite Husband
    My Favorite Husband is a late-1940s American radio sitcom starring Lucille Ball that served as a precursor to and inspiration for the television series I Love Lucy.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d48f17c819088c4d8c2d2b368c8 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:49 a.m.