Triple

T15389935
Position Surface form Disambiguated ID Type / Status
Subject Quinn Cook E368012 entity
Predicate playedFor P2170 FINISHED
Object Canton Charge E761855 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: Canton Charge | Statement: [Quinn Cook, playedFor, Canton Charge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canton Charge
Context triple: [Quinn Cook, playedFor, Canton Charge]
  • A. Canton Charge chosen
    Canton Charge was an NBA G League basketball team based in Canton, Ohio, serving as a developmental affiliate of the Cleveland Cavaliers before relocating and rebranding as the Cleveland Charge.
  • B. Canton Stand
    Canton Stand is a spectator seating section within Cardiff City Stadium, home of Cardiff City Football Club.
  • C. Dart Charge
    Dart Charge is the electronic toll collection system used to pay for crossing the River Thames via the Dartford Crossing in the UK.
  • D. Charge!
    Charge! is a U.S. digital broadcast television network specializing in action-oriented programming, including classic police, detective, and adventure series.
  • E. Arcour
    Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7727a081908eff45bbc1633c8a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134e37d881909f373b90a99fc067 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.