Triple

T12318245
Position Surface form Disambiguated ID Type / Status
Subject Michael Caton-Jones E293660 entity
Predicate directed P7373 FINISHED
Object Doc Hollywood E357050 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: Doc Hollywood | Statement: [Michael Caton-Jones, directed, Doc Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doc Hollywood
Context triple: [Michael Caton-Jones, directed, Doc Hollywood]
  • A. Doc Hollywood chosen
    Doc Hollywood is a 1991 romantic comedy film starring Michael J. Fox as a big-city doctor stranded in a small Southern town, where he reevaluates his life and career.
  • B. There Really Was a Hollywood
    "There Really Was a Hollywood" is a memoir by actress Janet Leigh recounting her experiences and insights from the classic Hollywood era.
  • C. Hollis to Hollywood
    "Hollis to Hollywood" is a hip-hop track by Mr. Smith, better known as LL Cool J, reflecting his journey from his Queens neighborhood to mainstream fame.
  • D. Captain Hollywood Project
    Captain Hollywood Project is a German Eurodance music act best known for its early-1990s club hits that blended rap verses with melodic female vocals.
  • E. Hollywood Dirt
    "Hollywood Dirt" is a romantic drama film produced and directed by Tosca Musk, adapted from Alessandra Torre’s bestselling novel about a small-town girl and a Hollywood star whose worlds collide during a movie shoot in rural Georgia.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9f708081908c052333c3b7df4c completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.