Triple

T21428103
Position Surface form Disambiguated ID Type / Status
Subject The Creator E528613 entity
Predicate editor P1954 FINISHED
Object Hank Corwin 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: Hank Corwin | Statement: [The Creator, editor, Hank Corwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hank Corwin
Context triple: [The Creator, editor, Hank Corwin]
  • A. Hank Corwin chosen
    Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
  • B. Phil Ryerson
    Phil Ryerson is a comedic supporting character in the family film "Daddy Day Care," known for his humorous mishaps and interactions with the daycare staff and children.
  • C. Roger E. Broggie
    Roger E. Broggie is a steam locomotive at Walt Disney World Railroad named in honor of Disney Imagineer and master machinist Roger E. Broggie, who was instrumental in developing Disney’s early railroad and ride systems.
  • D. Roy Sharman
    Roy Sharman is a film editor known for his work on the 2003 adaptation of "I Capture the Castle."
  • E. Burt Kennedy
    Burt Kennedy was an American screenwriter and director best known for his work on comedic and traditional Western films in the mid-20th century.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3e74bcc81909ad66e3c59152ffc completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.