Triple

T925891
Position Surface form Disambiguated ID Type / Status
Subject Patrick Ewing E19980 entity
Predicate statPoints P17024 FINISHED
Object 24815 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: 24815 | Statement: [Patrick Ewing, statPoints, 24815]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statPoints
Context triple: [Patrick Ewing, statPoints, 24815]
  • A. winnerPoints
    Indicates the number of points earned by the winning participant or entity in a competition or event.
  • B. notableStatistic
    Indicates that a particular statistic is especially significant or noteworthy in relation to the subject.
  • C. totalPointsScored chosen
    Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
  • D. scoring
    Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
  • E. hasStatistics
    Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b388f0bc8190a087222636135ba5 completed March 1, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69a4b2970a4c8190b22cb2fd4706f62b completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.