Triple

T8067861
Position Surface form Disambiguated ID Type / Status
Subject Alex Kozinski E188290 entity
Predicate educatedAt P5 FINISHED
Object UCLA E27622 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: UCLA | Statement: [Alex Kozinski, educatedAt, UCLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCLA
Context triple: [Alex Kozinski, educatedAt, UCLA]
  • A. University of California, Los Angeles chosen
    The University of California, Los Angeles (UCLA) is a leading public research university in Los Angeles renowned for its strong academic programs, influential research, and competitive athletics.
  • 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. USC
    USC is a historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff8a4fc8190a97fc7111ca7ec4d completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1c750c7c81908ad680f942bcbe9c completed April 2, 2026, 7:36 a.m.
Created at: March 30, 2026, 5:27 p.m.