Triple

T10518474
Position Surface form Disambiguated ID Type / Status
Subject Art Monk E248099 entity
Predicate holdsFormerRecordFor P82312 FINISHED
Object NFL career receptions 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: NFL career receptions | Statement: [Art Monk, holdsFormerRecordFor, NFL career receptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: holdsFormerRecordFor
Context triple: [Art Monk, holdsFormerRecordFor, NFL career receptions]
  • A. previousRecordHolder chosen
    Indicates that one entity was the former holder of a particular record before another entity surpassed or replaced it.
  • B. isAllTimeRecordHolderFor
    Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
  • C. brokeRecordOf
    Indicates that one entity has surpassed or exceeded a previous performance or achievement previously held by another entity.
  • D. holdsBestFor
    Indicates that one entity considers or maintains another entity as the most suitable or optimal choice for a particular purpose or context.
  • E. wasWorldRecordFor
    Indicates that something held the status of being the best performance or highest achievement ever recorded for a particular event, category, or metric at a given time.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dd29b48190aa5b170e2558545c completed April 7, 2026, 1:42 p.m.
PD Predicate disambiguation batch_69d4fb94fa10819091f585bab4379c6f completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:28 p.m.