Triple

T3819952
Position Surface form Disambiguated ID Type / Status
Subject The Paper E84347 entity
Predicate editor 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 Paper, editor, Daniel P. Hanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel P. Hanley
Context triple: [The Paper, editor, 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. Edward P. Doherty
    Edward P. Doherty was a U.S. Army officer best known for leading the detachment that captured and killed President Abraham Lincoln’s assassin, John Wilkes Booth, at a farm near Port Royal, Virginia.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea601d408190b09dc486e77488d4 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70bb52008190aaf547dff5f0d904 completed March 22, 2026, 4:31 a.m.
Created at: March 9, 2026, 3:17 p.m.