Triple

T8004982
Position Surface form Disambiguated ID Type / Status
Subject Andre Drummond E186341 entity
Predicate playsWithJerseyNumber P2651 FINISHED
Object 0 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: 0 | Statement: [Andre Drummond, playsWithJerseyNumber, 0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playsWithJerseyNumber
Context triple: [Andre Drummond, playsWithJerseyNumber, 0]
  • A. jerseyNumber chosen
    Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
  • B. wearsJerseyFor
    Indicates that one entity wears a jersey representing, belonging to, or in support of another entity (such as a team, organization, or individual).
  • C. jerseyNumberCoached
    Indicates that a coach was responsible for coaching a player (or players) who wore a specific jersey number.
  • D. leaderJerseyColor
    Indicates the color of the jersey worn by the current leader in a competition or ranking.
  • E. jerseyNumberStyle
    Indicates the visual design or formatting style used for displaying a player’s jersey number.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf5fb588190ada4ec7d8087619c completed March 31, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69cb048c9f488190b4fb8917a9c21bc5 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:18 p.m.