Triple

T19453222
Position Surface form Disambiguated ID Type / Status
Subject The Prodigy (2019 film) E486668 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: [The Prodigy (2019 film), starring, Colm Feore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colm Feore
Context triple: [The Prodigy (2019 film), 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6339407a08190a3e0213bfbb4df3d completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.