Triple

T20079039
Position Surface form Disambiguated ID Type / Status
Subject Dan Hurley E499946 entity
Predicate roleAtUConn 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: [Dan Hurley, roleAtUConn, head coach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleAtUConn
Context triple: [Dan Hurley, roleAtUConn, 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. roleAtInstitution chosen
    Indicates that an entity holds or has held a specific role or position within a particular institution.
  • C. campusRole
    Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
  • D. roleInInstitutions
    Indicates that an entity holds or has held a specific role, position, or function within one or more institutions.
  • E. roleAtD.C.United
    Indicates that an entity holds or held a specific role or position within the D.C. United soccer organization.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643e216c819088c002fc1de2772a completed April 20, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69e54cf369b88190931532420517dac7 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:40 p.m.