Triple

T22664061
Position Surface form Disambiguated ID Type / Status
Subject National Security E559736 entity
Predicate starring P1507 FINISHED
Object Colm Feore NE NERFINISHED

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: Colm Feore | Statement: [National Security, starring, Colm Feore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colm Feore
Context triple: [National Security, starring, Colm Feore]
  • A. Colm Feore chosen
    Colm Feore is a Canadian-American actor known for his versatile performances in film, television, and theatre, including roles in works like "Bon Cop, Bad Cop," "The Chronicles of Riddick," and numerous Stratford Festival productions.
  • B. Brian d'Arcy James
    Brian d'Arcy James is an American actor and singer known for his work on Broadway and in film and television, including acclaimed performances in productions like "Shrek the Musical" and the film "Spotlight."
  • C. Seamus Tierney
    Seamus Tierney is a cinematographer known for his work on the film "Love, Antosha."
  • D. Gerard Meaney
    Gerard Meaney is an academic and literary scholar known for his work in Irish studies and cultural theory.
  • E. Brian Gleeson
    Brian Gleeson is an Irish actor known for his work in film and television, including roles in productions such as "Love/Hate," "Phantom Thread," and "The Bisexual."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f176617ed8819095a58a2c9f1e3918 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.