Triple

T390249
Position Surface form Disambiguated ID Type / Status
Subject Conn Smythe Trophy E8863 entity
Predicate mostWinsByPlayerCount P12883 FINISHED
Object 3 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: 3 | Statement: [Conn Smythe Trophy, mostWinsByPlayerCount, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mostWinsByPlayerCount
Context triple: [Conn Smythe Trophy, mostWinsByPlayerCount, 3]
  • A. mostOverallWinsHolder
    Indicates that the subject is the entity holding the highest total number of wins overall, compared to all other relevant entities.
  • B. mostOverallWinsRecord
    Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
  • C. winnerCount
    Indicates the number of entities that are designated as winners in a given context or event.
  • D. winnerPlaysIn
    Indicates that the entity identified as the winner of a contest or match participates in a subsequent game, round, or event.
  • E. mainWinner
    Indicates that one entity is the primary or overall winner in a competition, contest, or comparative outcome relative to others.
  • F. None of above. chosen

Provenance (4 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5bdc848190826701590070497b completed Feb. 28, 2026, 1:23 p.m.
PD Predicate disambiguation batch_69a2e96960608190bdd342da9c5ddb5e completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2ebac09408190be802b96bb203d5f completed Feb. 28, 2026, 1:20 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.