Triple

T9563853
Position Surface form Disambiguated ID Type / Status
Subject Arike Ogunbowale E230740 entity
Predicate madeGameWinningShotIn P2220 FINISHED
Object 2018 NCAA Women's Final Four semifinal vs. Connecticut LITERAL 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: 2018 NCAA Women's Final Four semifinal vs. Connecticut | Statement: [Arike Ogunbowale, madeGameWinningShotIn, 2018 NCAA Women's Final Four semifinal vs. Connecticut]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: madeGameWinningShotIn
Context triple: [Arike Ogunbowale, madeGameWinningShotIn, 2018 NCAA Women's Final Four semifinal vs. Connecticut]
  • A. scoredGameWinningGoal chosen
    Indicates that an entity scored the decisive goal that determined the final victory in a game.
  • B. MVPShotsOnGoal
    Indicates that the entity identified as the MVP recorded a certain number of shots on goal in a game or competition.
  • C. game6WinningHitBy
    Indicates that the referenced entity delivered the decisive, game-winning hit in game 6 of a series or matchup.
  • D. scored71PointsInSingleGame
    Indicates that an entity achieved a total of 71 points in a single game.
  • E. winnerMake
    Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
  • F. None of above.

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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9968b8608190b3078fe5764f0a69 completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:04 p.m.