Triple

T1366508
Position Surface form Disambiguated ID Type / Status
Subject Paul Pierce E30013 entity
Predicate playedPositionCategory P11751 FINISHED
Object wing 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: wing | Statement: [Paul Pierce, playedPositionCategory, wing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playedPositionCategory
Context triple: [Paul Pierce, playedPositionCategory, wing]
  • A. playingPosition
    Indicates the specific role or position an individual occupies while participating in a game or sport.
  • B. playsInPosition chosen
    Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
  • C. playedFrom
    Indicates that an action of playing (such as media playback or a performance) originated from a particular source or starting point.
  • D. positionInLineup
    Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
  • E. playedUntil
    Indicates that an action or event involving playing continued up to a specific time, point, or condition.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69a4bef945c08190a027472fdd695ea5 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.