Triple

T9913518
Position Surface form Disambiguated ID Type / Status
Subject A Gunfight E185805 entity
Predicate cinematography P1953 FINISHED
Object David M. Walsh E308850 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: David M. Walsh | Statement: [A Gunfight, cinematography, David M. Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David M. Walsh
Context triple: [A Gunfight, cinematography, David M. Walsh]
  • A. David M. Walsh chosen
    David M. Walsh is an American cinematographer known for his work on numerous films, particularly comedies, during the 1970s and 1980s.
  • B. David Walsh
    David Walsh is an Australian professional gambler, art collector, and entrepreneur best known as the founder of Hobart’s provocative Museum of Old and New Art (MONA).
  • C. Gerard A. Buccafusco
    Gerard A. Buccafusco is a local political figure who has served as the mayor of Belmar, New Jersey.
  • D. Kevin J. Walsh
    Kevin J. Walsh is a film producer known for his work on major Hollywood productions, including the 2022 adaptation of "Death on the Nile."
  • E. Michael P. Cahill
    Michael P. Cahill is an American local politician who has served as the mayor of Beverly, Massachusetts.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53a300481909d917e487d8aab56 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5c126c081909a072034fde64a04 completed April 5, 2026, 7:19 p.m.
Created at: March 30, 2026, 8:41 p.m.