Triple

T21356792
Position Surface form Disambiguated ID Type / Status
Subject Michael Brandt E526651 entity
Predicate educatedAt P5 FINISHED
Object Baylor 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: Baylor University | Statement: [Michael Brandt, educatedAt, Baylor University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baylor University
Context triple: [Michael Brandt, 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 (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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa1a9b0819083a5a8f34c49d409 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.