Triple

T10239368
Position Surface form Disambiguated ID Type / Status
Subject Jimmer Fredette E243546 entity
Predicate setCollegeRecordFor P92054 FINISHED
Object career scoring at BYU at time of graduation 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: career scoring at BYU at time of graduation | Statement: [Jimmer Fredette, setCollegeRecordFor, career scoring at BYU at time of graduation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: setCollegeRecordFor
Context triple: [Jimmer Fredette, setCollegeRecordFor, career scoring at BYU at time of graduation]
  • A. setWorldRecordsIn
    Indicates that an entity has achieved and holds world record performances in a specified domain, event, or location.
  • B. brokeRecordOf
    Indicates that one entity has surpassed or exceeded a previous performance or achievement previously held by another entity.
  • C. setRecordFor chosen
    Indicates establishing or updating a specific record associated with an entity or context.
  • D. worldRecordSetOn
    Indicates that a world record was achieved or established on a specific date or occasion.
  • E. worldRecordSet
    Indicates that an entity has achieved and established the best performance ever recorded in the world for a particular activity, event, or measurable criterion.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d328272c8190a3548d7f7f38cfc4 completed April 7, 2026, 9:49 a.m.
PD Predicate disambiguation batch_69d4d1ebd6c88190a1f3f4a72a99d6fe completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:23 a.m.