Triple

T6463643
Position Surface form Disambiguated ID Type / Status
Subject Exit Wounds E142179 entity
Predicate cinematography P1953 FINISHED
Object Glen MacPherson E610012 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: Glen MacPherson | Statement: [Exit Wounds, cinematography, Glen MacPherson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen MacPherson
Context triple: [Exit Wounds, cinematography, Glen MacPherson]
  • A. Glen MacPherson chosen
    Glen MacPherson is a Canadian cinematographer known for his work on action and genre films in both Hollywood and international productions.
  • B. Gordon McIlwham
    Gordon McIlwham is a former Scottish rugby union player, best known for his role as a prop and for representing Scotland at international level.
  • C. Allan MacDougall
    Allan MacDougall is a notable individual recognized for bearing the MacDougall surname.
  • D. Ewen Macdonald
    Ewen Macdonald was a Presbyterian minister best known as the husband of Canadian author Lucy Maud Montgomery.
  • E. Allan MacEachen
    Allan MacEachen was a prominent Canadian Liberal politician and long-serving cabinet minister who played a key role in shaping Canada's domestic and foreign policy in the late 20th century.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f77d46c081908bbbd0be951cb44f completed March 27, 2026, 9:32 p.m.
Created at: March 22, 2026, 4:49 p.m.