Triple

T10415930
Position Surface form Disambiguated ID Type / Status
Subject Guy Carbonneau E245515 entity
Predicate playedInPlayoffGamesApprox P16167 FINISHED
Object 260 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: 260 | Statement: [Guy Carbonneau, playedInPlayoffGamesApprox, 260]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playedInPlayoffGamesApprox
Context triple: [Guy Carbonneau, playedInPlayoffGamesApprox, 260]
  • A. playoffAppearances
    Indicates the number of times an entity (such as a team or player) has qualified for and participated in postseason playoff competition.
  • B. hasPlayoffsWith
    Indicates that two entities participate together in the same playoff series, bracket, or postseason competition.
  • C. hasChampionshipGames
    Indicates that an entity includes, hosts, or is associated with one or more championship-level games or matches.
  • D. postseasonGamesPlayed chosen
    Indicates the number of games an entity has participated in during postseason or playoff competition.
  • E. playedRegularSeasonGamesIn
    Indicates that an athlete participated in one or more regular-season games for a specified team or league.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea108fec8190819423630888fa2b completed April 7, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:10 p.m.