Triple

T20079022
Position Surface form Disambiguated ID Type / Status
Subject Dan Hurley E499946 entity
Predicate educatedAt P5 FINISHED
Object Seton Hall University 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: Seton Hall University | Statement: [Dan Hurley, educatedAt, Seton Hall University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seton Hall University
Context triple: [Dan Hurley, educatedAt, Seton Hall University]
  • A. Seton Hall University chosen
    Seton Hall University is a private Roman Catholic university in South Orange, New Jersey, known for its strong programs in business, law, and international relations.
  • B. La Salle University
    La Salle University is a private Roman Catholic university in Philadelphia, Pennsylvania, known for its liberal arts education and NCAA Division I athletic programs.
  • C. Marywood University
    Marywood University is a private Catholic liberal arts university located in Scranton, Pennsylvania.
  • D. St. John’s University
    St. John’s University is a private Roman Catholic university in New York City known for its diverse academic programs, strong professional schools, and Vincentian mission of service.
  • E. William Paterson University
    William Paterson University is a public university in Wayne, New Jersey, known for its diverse academic programs and strong emphasis on teaching and research.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643e216c819088c002fc1de2772a completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.