Triple

T23306094
Position Surface form Disambiguated ID Type / Status
Subject Theo Fleury E590437 entity
Predicate nhlPenaltyMinutes P57833 FINISHED
Object 1840 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: 1840 | Statement: [Theo Fleury, nhlPenaltyMinutes, 1840]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nhlPenaltyMinutes
Context triple: [Theo Fleury, nhlPenaltyMinutes, 1840]
  • A. penaltyMinutesInNHL chosen
    Indicates the number of penalty minutes an entity has accumulated in National Hockey League (NHL) play.
  • B. penaltyMinutesCharacteristic
    Indicates the amount of time in penalty minutes associated with an entity, typically reflecting infractions or rule violations.
  • C. penaltyMinute
    Indicates that a player is assessed a specific number of penalty minutes, typically for an infraction in a timed sporting event.
  • D. NHLAssists
    Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
  • E. numberOfPlayersOnIcePerTeam
    Indicates the count of players from a single team who are on the ice at the same time during play.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972737c08190bd011776564c3861 completed April 29, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69effcf325f88190b320268c3c551abb completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 5:05 p.m.