Triple

T7951275
Position Surface form Disambiguated ID Type / Status
Subject World’s Wildest Police Videos E184618 entity
Predicate relatedTo P37 FINISHED
Object Cops E184617 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: Cops | Statement: [World’s Wildest Police Videos, relatedTo, Cops]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cops
Context triple: [World’s Wildest Police Videos, relatedTo, Cops]
  • A. Cops chosen
    Cops is a long-running American reality television series that follows police officers on duty as they respond to real-life incidents and arrests.
  • B. COPS
    COPS is the abbreviation for the European Union’s Political and Security Committee, a key body responsible for shaping and overseeing the EU’s Common Foreign and Security Policy and crisis management operations.
  • C. Poliça
    Poliça is an American synth-pop and alternative R&B band from Minneapolis known for its atmospheric production, heavy use of vocal effects, and emotionally charged songwriting.
  • D. Bon Cop, Bad Cop
    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.
  • E. 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.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5b7450819091e4e6f21e9d832d completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0530b8881908e35b10917e69899 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.