Triple

T14566213
Position Surface form Disambiguated ID Type / Status
Subject Bon Cop, Bad Cop E341790 entity
Predicate producer P490 FINISHED
Object Kevin Tierney E958057 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: Kevin Tierney | Statement: [Bon Cop, Bad Cop, producer, Kevin Tierney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Tierney
Context triple: [Bon Cop, Bad Cop, producer, Kevin Tierney]
  • A. Kevin Tierney chosen
    Kevin Tierney is a Canadian film producer and cultural figure best known for co-producing the hit bilingual comedy film "Bon Cop, Bad Cop."
  • B. Mike Tierney
    Mike Tierney is a notable individual recognized for achievements significant enough to be associated with the surname Tierney.
  • C. Kevin Stein
    Kevin Stein is an American poet, critic, and educator known for his influential role in contemporary Midwestern poetry and service as Illinois's Poet Laureate.
  • D. Richie Stotts
    Richie Stotts is an American guitarist best known as a founding member of the shock rock band Plasmatics.
  • E. Kevin Stoney
    Kevin Stoney was a British character actor best known for his villainous roles in classic science fiction television, particularly in series like Doctor Who.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b4013881908fddb8b3cf8494de completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.