Triple

T14566123
Position Surface form Disambiguated ID Type / Status
Subject Colm Joseph Feore E341788 entity
Predicate notableWork P4 FINISHED
Object Bon Cop, Bad Cop E341790 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: Bon Cop, Bad Cop | Statement: [Colm Joseph Feore, notableWork, Bon Cop, Bad Cop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bon Cop, Bad Cop
Context triple: [Colm Joseph Feore, notableWork, Bon Cop, Bad Cop]
  • A. Bon Cop, Bad Cop chosen
    Bon Cop, Bad Cop is a bilingual Canadian action-comedy film that pairs an Ontario and a Quebec police officer who must overcome cultural differences to solve a cross-border crime.
  • B. Bad Cop
    Bad Cop is a central antagonist-turned-ally in *The Lego Movie*, depicted as a conflicted Lego police officer with a split good cop/bad cop personality.
  • C. One Good Cop
    One Good Cop is a 1991 crime drama film starring Michael Keaton as a New York City detective who must balance his dangerous job with caring for his late partner’s three young daughters.
  • D. The Good Cop
    The Good Cop is a 2018 Netflix comedy-drama series about an odd-couple father-son duo of NYPD detectives, created by veteran TV writer and producer Lowell Ganz.
  • E. Cops
    Cops is a long-running American reality television series that follows police officers on duty as they respond to real-life incidents and arrests.
  • 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_69fd8ac485688190a2917251a7c8721a completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.