Triple

T10609275
Position Surface form Disambiguated ID Type / Status
Subject Jae Crowder E275961 entity
Predicate parent P120 FINISHED
Object Corey Crowder E874274 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: Corey Crowder | Statement: [Jae Crowder, parent, Corey Crowder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corey Crowder
Context triple: [Jae Crowder, parent, Corey Crowder]
  • A. Corey Jae Crowder chosen
    Corey Jae Crowder is an American professional basketball player known for his versatile forward play, three-point shooting, and defensive toughness in the NBA.
  • B. Corey Gaines
    Corey Gaines is an American basketball coach and former player best known for leading the WNBA’s Phoenix Mercury to a championship as head coach.
  • C. Corey Sienega
    Corey Sienega is a film producer best known for her work on genre and independent movies, including the psychological horror-thriller "Frailty."
  • D. Jason Crouse
    Jason Crouse is a fictional defense investigator and love interest of Alicia Florrick on the legal drama television series "The Good Wife."
  • E. Garrett Cotter
    Garrett Cotter was an Irish-born convict and early settler in Australia after whom the Cotter River in the Australian Capital Territory is named.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4d0a6881909fea20378085173d completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69e154679bb88190b2fffeea74d1fc50 completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 7:32 p.m.