Triple

T14366232
Position Surface form Disambiguated ID Type / Status
Subject Donna Feore E356240 entity
Predicate hasRelative P367 FINISHED
Object Colm Feore E68533 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: Colm Feore | Statement: [Donna Feore, hasRelative, Colm Feore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colm Feore
Context triple: [Donna Feore, hasRelative, 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. 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."
  • E. Colm Meaney
    Colm Meaney is an Irish actor best known for his roles in Star Trek: The Next Generation and Deep Space Nine, as well as numerous film and television appearances.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550e677c8190837c3b9ccb64f0cd completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.