Triple

T10527166
Position Surface form Disambiguated ID Type / Status
Subject Patch Adams E248334 entity
Predicate starring P1507 FINISHED
Object Harve Presnell E439907 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: Harve Presnell | Statement: [Patch Adams, starring, Harve Presnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harve Presnell
Context triple: [Patch Adams, 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 (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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f5ec348190875c8c877e70ba4a completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b3d6f6c81908d8247da9d9caab2 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:29 p.m.