Triple

T20570342
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 5: Assignment Miami Beach E505078 entity
Predicate stars P1956 FINISHED
Object Matt McCoy 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: Matt McCoy | Statement: [Police Academy 5: Assignment Miami Beach, stars, Matt McCoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt McCoy
Context triple: [Police Academy 5: Assignment Miami Beach, stars, Matt McCoy]
  • A. Matt McCoy chosen
    Matt McCoy is an American actor known for roles in films such as the "Police Academy" series and numerous television appearances.
  • B. Chris McCoy
    Chris McCoy is a member of the visual effects and animation company Trixter, contributing to its film and media projects.
  • C. Matt McJunkins
    Matt McJunkins is an American bassist and musician best known for his work with rock bands such as A Perfect Circle, Eagles of Death Metal, and Puscifer.
  • D. Matt McMahon
    Matt McMahon is an American college basketball coach best known for leading successful programs at Murray State before taking over as head coach of the LSU Tigers men's basketball team.
  • E. Craig McCoy
    Craig McCoy is the daring stunt pilot and amateur sleuth protagonist of the 1932 serial film "The Shadow of the Eagle."
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a5b0688190b45d0fa993c4765c completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.