Triple

T15008084
Position Surface form Disambiguated ID Type / Status
Subject Hit Man (2023 film) E377759 entity
Predicate cinematographyBy P1953 FINISHED
Object Shane F. Kelly E1120372 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: Shane F. Kelly | Statement: [Hit Man (2023 film), cinematographyBy, Shane F. Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shane F. Kelly
Context triple: [Hit Man (2023 film), cinematographyBy, Shane F. Kelly]
  • A. Shane F. Kelly chosen
    Shane F. Kelly is an American cinematographer known for his work on films such as Richard Linklater’s "A Scanner Darkly."
  • B. Kevin M. Quinn
    Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
  • C. Michael P. Cahill
    Michael P. Cahill is an American local politician who has served as the mayor of Beverly, Massachusetts.
  • D. Kevin J. O'Connor
    Kevin J. O'Connor is an American character actor known for his eccentric and memorable supporting roles in films such as "There Will Be Blood" and "The Mummy."
  • E. Brian J. Breheny
    Brian J. Breheny is an Australian cinematographer best known for his work on the acclaimed film "The Adventures of Priscilla, Queen of the Desert."
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3647bda881909a83311926096a29 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 2:55 a.m.