Triple

T14323962
Position Surface form Disambiguated ID Type / Status
Subject Snow Falling on Cedars E355166 entity
Predicate editor P1954 FINISHED
Object Hank Corwin E308323 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: Hank Corwin | Statement: [Snow Falling on Cedars, editor, Hank Corwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hank Corwin
Context triple: [Snow Falling on Cedars, 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 (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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883d1de88190a1e2bf2f1b692197 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a018c88190b4fdbf36687ad973 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:13 a.m.