Triple

T22372810
Position Surface form Disambiguated ID Type / Status
Subject NCAA coach E553082 entity
Predicate mayRequireEducation P15052 FINISHED
Object bachelor's degree 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: bachelor's degree | Statement: [NCAA coach, mayRequireEducation, bachelor's degree]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayRequireEducation
Context triple: [NCAA coach, mayRequireEducation, bachelor's degree]
  • A. requiresEducation chosen
    Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
  • B. requiresEducationIn
    Indicates that one entity necessitates that another entity possess education or formal training in a specified field or discipline.
  • C. mayRequireCertification
    Indicates that performing or engaging in the referenced action or relationship might necessitate obtaining a formal certification or credential.
  • D. requiresTrainingAt
    Indicates that one entity must undergo or complete training at a specified organization, institution, or location as a prerequisite or requirement.
  • E. requiresTraining
    Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15805a3048190a802161d119d7a5a completed April 29, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69e73011e6388190a05edf137f488441 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:44 p.m.