Triple

T21247662
Position Surface form Disambiguated ID Type / Status
Subject Dan Greenburg E523655 entity
Predicate educatedAt P5 FINISHED
Object UCLA NE NERFINISHED

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: [Dan Greenburg, educatedAt, UCLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCLA
Context triple: [Dan Greenburg, 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 Japanese space launch and tracking facility operated by JAXA, known for supporting satellite launches and space science missions.
  • C. USC
    USC is a historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
  • D. USC
    USC is the commonly used abbreviation for the United Somali Congress, a key political and militant organization in Somalia’s civil conflict history.
  • E. USC
    The USC, or Ulster Special Constabulary, was a reserve police force in Northern Ireland that operated during much of the 20th century, primarily tasked with supporting security and maintaining order amid sectarian conflict.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359b756c819085480ca4174c53c2 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:55 p.m.