Triple

T37276662
Position Surface form Disambiguated ID Type / Status
Subject Matthew in The Expositor’s Bible Commentary E924664 entity
Predicate hermeneuticalStance P18616 FINISHED
Object conservative evangelical LITERAL 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: conservative evangelical | Statement: [Matthew in The Expositor’s Bible Commentary, hermeneuticalStance, conservative evangelical]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hermeneuticalStance
Context triple: [Matthew in The Expositor’s Bible Commentary, hermeneuticalStance, conservative evangelical]
  • A. styleOfExegesis chosen
    Indicates the particular interpretive method or approach applied when analyzing or explaining a text.
  • B. hasAuthorialStance
    Indicates that an entity expresses, embodies, or is associated with a particular author’s viewpoint, attitude, or perspective toward its subject matter.
  • C. doctrinalStance
    Indicates the specific set of doctrines, beliefs, or official teachings that an entity adheres to or promotes.
  • D. interpretiveStatus
    Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
  • E. theologicalInterpretation
    Indicates a relationship where an event, text, or phenomenon is understood or explained through religious or doctrinal beliefs and principles.
  • F. None of above.

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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb78cbef988190b8f79d946b46e6b2 completed May 6, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69fb5a9ac5a08190b24ef308963fc52b completed May 6, 2026, 3:13 p.m.
Created at: May 3, 2026, 4:16 p.m.