Triple

T7451961
Position Surface form Disambiguated ID Type / Status
Subject Kliff Kingsbury E172027 entity
Predicate roleAtTexasTech P38510 FINISHED
Object head coach 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: head coach | Statement: [Kliff Kingsbury, roleAtTexasTech, head coach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleAtTexasTech
Context triple: [Kliff Kingsbury, roleAtTexasTech, head coach]
  • A. roleAtUCSD
    Indicates that an entity holds or has held a specific role or position at the University of California, San Diego (UCSD).
  • B. campusRole
    Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
  • C. roleAtInstitution chosen
    Indicates that an entity holds or has held a specific role or position within a particular institution.
  • D. hasEducationalRole
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • E. roleAtMidway
    Indicates that an entity holds or held a specific role, position, or function at the midpoint or intermediate stage of a process, event, or time period.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69c6f039f7248190bb4183f97b605763 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:14 p.m.