Triple

T22975643
Position Surface form Disambiguated ID Type / Status
Subject Fargo (1996 film) E571308 entity
Predicate starring P1507 FINISHED
Object Harve Presnell 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: Harve Presnell | Statement: [Fargo (1996 film), starring, Harve Presnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harve Presnell
Context triple: [Fargo (1996 film), starring, Harve Presnell]
  • A. Harve Presnell chosen
    Harve Presnell was an American actor and singer best known for his commanding baritone voice and memorable film and stage roles, including his performance in the Coen brothers' film "Fargo."
  • B. Brett Cullen
    Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
  • C. Ian George
    Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
  • D. Dorian Harewood
    Dorian Harewood is an American actor known for his work in film, television, and voice acting, including roles in projects such as Full Metal Jacket and the animated series Batman.
  • E. John Ehle
    John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18235de508190ab9675d005870ff6 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.