Triple

T16770566
Position Surface form Disambiguated ID Type / Status
Subject Ferrell Center E407581 entity
Predicate namedAfter P63 FINISHED
Object Charles R. Ferrell 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: Charles R. Ferrell | Statement: [Ferrell Center, namedAfter, Charles R. Ferrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles R. Ferrell
Context triple: [Ferrell Center, namedAfter, Charles R. Ferrell]
  • A. Charles R. Ferrell chosen
    Charles R. Ferrell was a key Baylor University figure and benefactor for whom the Ferrell Center arena in Waco, Texas, is named.
  • B. Joseph Greer
    Joseph Greer is a musician best known as a member of the Australian indie rock band The Temper Trap.
  • C. George Shively
    George Shively was an early 20th-century Negro league outfielder known for his speed, strong defense, and key role on several prominent Black baseball teams.
  • D. John Pardue
    John Pardue is a cinematographer known for his work on film and television projects, including the 2012 television film "The Girl."
  • E. Edward F. Dunne
    Edward F. Dunne was an American politician who served as mayor of Chicago and later as governor of Illinois in the early 20th century.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0361e5081908f58edf766ff3ce0 completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:21 a.m.