Triple

T13238256
Position Surface form Disambiguated ID Type / Status
Subject Far and Away E315210 entity
Predicate editedBy P1954 FINISHED
Object Daniel P. Hanley 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: Daniel P. Hanley | Statement: [Far and Away, editedBy, Daniel P. Hanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel P. Hanley
Context triple: [Far and Away, editedBy, Daniel P. Hanley]
  • A. Daniel P. Hanley chosen
    Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
  • B. Daniel P. Higgins
    Daniel P. Higgins was an architect associated with the design work on the Jefferson Memorial in Washington, D.C.
  • C. David P. Haney
    David P. Haney is an American academic administrator who has served as president of Hiram College in Ohio.
  • D. Allen M. Davey
    Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
  • E. Leland J. Hamlin
    Leland J. Hamlin is an individual notable enough to be specifically cited as a bearer of the Hamlin surname, though detailed public information about his life or achievements appears to be limited.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
Created at: April 9, 2026, 9:23 p.m.