Triple

T4666891
Position Surface form Disambiguated ID Type / Status
Subject The Missing E102866 entity
Predicate editedBy P1954 FINISHED
Object Daniel P. Hanley E114053 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: Daniel P. Hanley | Statement: [The Missing, editedBy, Daniel P. Hanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel P. Hanley
Context triple: [The Missing, 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. Allen M. Davey
    Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
  • D. Bradford M. Durfee
    Bradford M. Durfee was a prominent local industrialist and philanthropist from Fall River, Massachusetts, for whom Durfee Hall was named in recognition of his contributions to the community.
  • E. James N. Hallock
    James N. Hallock is an American physicist and aerospace safety expert known for his work in flight dynamics and his role in high-level investigations of space shuttle safety.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfdb12f33c819084d9268bd31b1f6c completed March 22, 2026, 12:05 p.m.
Created at: March 20, 2026, 1:15 p.m.