Triple

T11316396
Position Surface form Disambiguated ID Type / Status
Subject Wayne Grudem E267979 entity
Predicate name P16 FINISHED
Object Wayne Grudem E267979 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: Wayne Grudem | Statement: [Wayne Grudem, name, Wayne Grudem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne Grudem
Context triple: [Wayne Grudem, name, Wayne Grudem]
  • A. Wayne Grudem chosen
    Wayne Grudem is an American evangelical theologian and author known for his influential works in systematic theology, ethics, and biblical studies.
  • B. 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.
  • C. Greg L. Bahnsen
    Greg L. Bahnsen was an American Reformed philosopher, theologian, and Christian apologist known for his rigorous defense and development of presuppositional apologetics.
  • D. Lester W. Geisler
    Lester W. Geisler was an architect best known for designing the historic Hialeah Park Race Track in Florida.
  • E. Robert Gordon Sproul
    Robert Gordon Sproul was a prominent American educator who served as the long-time president of the University of California system in the mid-20th century.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a9e66588190b71e0f60133a8995 completed April 19, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:32 p.m.