Triple

T12348283
Position Surface form Disambiguated ID Type / Status
Subject Greg L. Bahnsen E294414 entity
Predicate fullName P16 FINISHED
Object Greg Lyle Bahnsen E294414 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: Greg Lyle Bahnsen | Statement: [Greg L. Bahnsen, fullName, Greg Lyle Bahnsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Lyle Bahnsen
Context triple: [Greg L. Bahnsen, fullName, Greg Lyle Bahnsen]
  • A. Greg L. Bahnsen chosen
    Greg L. Bahnsen was an American Reformed philosopher, theologian, and Christian apologist known for his rigorous defense and development of presuppositional apologetics.
  • B. Lester W. Geisler
    Lester W. Geisler was an architect best known for designing the historic Hialeah Park Race Track in Florida.
  • C. John M. Frame
    John M. Frame is an American Reformed theologian and philosopher known for his work in presuppositional apologetics, doctrine of God, and Christian ethics.
  • D. Wayne Grudem
    Wayne Grudem is an American evangelical theologian and author known for his influential works in systematic theology, ethics, and biblical studies.
  • E. Robert Michael Geisler
    Robert Michael Geisler is a film producer best known for his work on Terrence Malick’s acclaimed war drama "The Thin Red Line."
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b90779881909893d1e6877ce567 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:53 p.m.