Triple

T11618693
Position Surface form Disambiguated ID Type / Status
Subject Blake Treinen E275576 entity
Predicate genreOfStatisticalSpecialization P71992 FINISHED
Object relief pitching statistics 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: relief pitching statistics | Statement: [Blake Treinen, genreOfStatisticalSpecialization, relief pitching statistics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genreOfStatisticalSpecialization
Context triple: [Blake Treinen, genreOfStatisticalSpecialization, relief pitching statistics]
  • A. genreOfStat chosen
    Indicates that a particular genre is the subject or category of a given statistical measurement or dataset.
  • B. statisticalType
    Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
  • C. hasStatisticalRole
    Indicates that an entity participates in a context (such as a study, dataset, or analysis) with a specific statistical function or role (e.g., variable, parameter, estimator).
  • D. dimensionOfStudy
    Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
  • E. studiedByDiscipline
    Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.