Triple

T8881364
Position Surface form Disambiguated ID Type / Status
Subject Jeff Glor E211417 entity
Predicate educatedAt P5 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: [Jeff Glor, educatedAt, Syracuse University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syracuse University
Context triple: [Jeff Glor, educatedAt, 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6168e3d881908c58cf11cf5f9a0e completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabc1992481909e8a4216086d5111 completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.