Triple

T11744903
Position Surface form Disambiguated ID Type / Status
Subject John D. Hunter E279253 entity
Predicate educatedAt P5 FINISHED
Object Baylor University E11568 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: Baylor University | Statement: [John D. Hunter, educatedAt, Baylor University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baylor University
Context triple: [John D. Hunter, educatedAt, Baylor University]
  • A. Baylor University chosen
    Baylor University is a private Christian research university in Waco, Texas, known for its strong academic programs and prominent athletics in the Big 12 Conference.
  • B. Baylor
    Baylor is a surname most notably associated with American baseball player and manager Don Baylor.
  • C. Texas Christian University
    Texas Christian University is a private Christian research university known for its strong academic programs and prominent athletics, located in Fort Worth, Texas.
  • D. University of Mary Hardin–Baylor
    The University of Mary Hardin–Baylor is a private Christian university in Texas known for its liberal arts education and strong nursing and education programs.
  • E. Texas Tech University
    Texas Tech University is a public research university in Lubbock, Texas, known for its strong athletics programs and comprehensive offerings in engineering, business, and agricultural sciences.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1308339ac8190b579a8c1bee2a2c2 completed April 28, 2026, 10:11 p.m.
Created at: April 8, 2026, 9:41 p.m.