Triple

T23264087
Position Surface form Disambiguated ID Type / Status
Subject Gamblin' Man E582096 entity
Predicate editedBy P1954 FINISHED
Object Lewis Teague 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: Lewis Teague | Statement: [Gamblin' Man, editedBy, Lewis Teague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lewis Teague
Context triple: [Gamblin' Man, editedBy, Lewis Teague]
  • A. Lewis Teague chosen
    Lewis Teague is an American film director and editor best known for genre films such as "Cujo" and "The Jewel of the Nile."
  • B. Lee Flaherty
    Lee Flaherty is an American businessman and race organizer best known for creating and launching the Chicago Marathon in the 1970s.
  • C. Paul Cox
    Paul Cox is a music industry figure best known as a co-founder of the influential UK independent record label Too Pure, which helped launch several notable alternative and indie acts.
  • D. Paul Cox
    Paul Cox was a Dutch-born Australian filmmaker renowned for his intimate, character-driven art-house films and his key role in the Australian New Wave cinema movement.
  • E. Charlie Lang
    Charlie Lang is the kind-hearted New York City police officer in the romantic comedy film "It Could Happen to You," known for sharing his lottery winnings with a waitress after promising her a tip he couldn't initially afford.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.