Triple

T13128703
Position Surface form Disambiguated ID Type / Status
Subject Rocky Long E311910 entity
Predicate employer P7 FINISHED
Object Syracuse University E45949 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: Syracuse University | Statement: [Rocky Long, employer, Syracuse University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syracuse University
Context triple: [Rocky Long, employer, Syracuse University]
  • A. Syracuse University chosen
    Syracuse University is a private research university in Syracuse, New York, known for its strong programs in communications, public affairs, and law.
  • B. Canisius University
    Canisius University is a private Jesuit university in Buffalo, New York, known for its strong liberal arts and professional programs.
  • C. University at Buffalo
    The University at Buffalo is a major public research university in Buffalo, New York, and the flagship institution of the State University of New York (SUNY) system.
  • D. Binghamton University
    Binghamton University is a public research university in Binghamton, New York, known for its strong academic programs and part of the State University of New York (SUNY) system.
  • E. Utica University
    Utica University is a private institution of higher education located in Utica, New York, known for its programs in cybersecurity, health sciences, and professional studies.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819bfd348190a22d44f837877e1c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28e922881909584296adc95d9b4 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.