Triple

T12464102
Position Surface form Disambiguated ID Type / Status
Subject Elgin Baylor E297875 entity
Predicate familyName P18 FINISHED
Object Baylor E768977 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 | Statement: [Elgin Baylor, familyName, Baylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baylor
Context triple: [Elgin Baylor, familyName, Baylor]
  • A. Baylor chosen
    Baylor is a surname most notably associated with American baseball player and manager Don Baylor.
  • B. Baylor University
    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.
  • C. Tappitt
    Tappitt is a surname associated with the individual referred to as Mr. Tappitt.
  • D. Texas Western College
    Texas Western College, now known as the University of Texas at El Paso (UTEP), is a public research university in El Paso, Texas, recognized historically for its groundbreaking 1966 NCAA men’s basketball championship team that started five Black players.
  • E. Baylor Bears
    The Baylor Bears are the athletic teams representing Baylor University in NCAA Division I sports, particularly known for their successes in football and basketball.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db5efe88190a76949e4ddc3314c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba170908190b7b52ba3e725ea5e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.