Triple

T5874169
Position Surface form Disambiguated ID Type / Status
Subject NBA Three-Point Contest E130586 entity
Predicate notableWinner P2766 FINISHED
Object Devin Booker E129989 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: Devin Booker | Statement: [NBA Three-Point Contest, notableWinner, Devin Booker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devin Booker
Context triple: [NBA Three-Point Contest, notableWinner, Devin Booker]
  • A. Devin Booker chosen
    Devin Booker is an American professional basketball player and three-time NBA All-Star known as a prolific scoring guard for the Phoenix Suns.
  • B. Aaron Gordon
    Aaron Gordon is an American professional basketball player known for his high-flying athleticism and memorable performances in NBA Slam Dunk Contests.
  • C. Tyler Herro
    Tyler Herro is an American professional basketball player known as a sharpshooting guard for the Miami Heat in the NBA.
  • D. Malik Beasley
    Malik Beasley is an American professional basketball player known as an athletic scoring guard who has played for multiple NBA teams after a standout freshman season at Florida State.
  • E. Jerami Grant
    Jerami Grant is an American professional basketball player in the NBA known for his versatile forward play, scoring ability, and strong defense.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035fafb54819085378e7c8d137402 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b11b48d88190ba6cd5ade2f47a89 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:57 p.m.