Triple

T4365982
Position Surface form Disambiguated ID Type / Status
Subject Justin Dior Combs E98772 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: [Justin Dior Combs, educatedAt, UCLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCLA
Context triple: [Justin Dior Combs, 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 historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
  • E. University of Southern California
    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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69badb1ba5d0819097382a689002cca5 completed March 18, 2026, 5:04 p.m.
Created at: March 12, 2026, 11:17 p.m.