Triple

T10802788
Position Surface form Disambiguated ID Type / Status
Subject Pac-12 Coach of the Year E254883 entity
Predicate notableConferenceMembers P304 FINISHED
Object USC E32839 NE 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: USC | Statement: [Pac-12 Coach of the Year, notableConferenceMembers, USC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USC
Context triple: [Pac-12 Coach of the Year, notableConferenceMembers, USC]
  • A. USC
    USC is a historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
  • B. USC
    USC is a common abbreviation that, in this context, refers to the University of South Carolina and its Gamecocks athletic teams competing in NCAA Division I sports.
  • C. USC
    USC is a public university in Queensland, Australia, known for its modern campuses and focus on teaching quality and regional engagement.
  • D. USC
    USC is a Japanese space launch and tracking facility operated by JAXA, known for supporting satellite launches and space science missions.
  • E. University of Southern California chosen
    The University of Southern California is a major private research university in Los Angeles known for its strong academic programs, influential alumni network, and significant contributions to fields such as film, engineering, and business.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7336feff88190b638b7d62d34da0e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de850209ac8190a7bf3a6d429d1217 completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:18 p.m.