Triple

T8514170
Position Surface form Disambiguated ID Type / Status
Subject The Shining (1980 film) E201530 entity
Predicate screenwriter P2831 FINISHED
Object Diane Johnson E201530 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: Diane Johnson | Statement: [The Shining (1980 film), screenwriter, Diane Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diane Johnson
Context triple: [The Shining (1980 film), screenwriter, Diane Johnson]
  • A. Diane Johnson chosen
    Diane Johnson is an American novelist and essayist best known for co-writing the screenplay for Stanley Kubrick’s film adaptation of Stephen King’s "The Shining."
  • B. Sue Miller
    Sue Miller is the wife of American musician Jeff Tweedy, frontman of the band Wilco.
  • C. Joyce Harwood
    Joyce Harwood is a central femme fatale-style figure in the 1946 film noir "The Blue Dahlia," entangled in a web of murder, deception, and romantic tension.
  • D. Andrea Barrett
    Andrea Barrett is an American novelist and short story writer best known for her historically rich, science-infused fiction, including the National Book Award–winning collection "Ship Fever."
  • E. Nan A. Talese
    Nan A. Talese is an American literary editor and publisher renowned for her eponymous imprint at Doubleday, which has published numerous acclaimed works of contemporary fiction and nonfiction.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60e12848190a4a3dfa457aef275 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e56ef088190b4f938486bbb7962 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.