Triple

T31152052
Position Surface form Disambiguated ID Type / Status
Subject John Wheelwright E794100 entity
Predicate religiousThemeRole P197055 FINISHED
Object wrestles with faith and doubt 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: wrestles with faith and doubt | Statement: [John Wheelwright, religiousThemeRole, wrestles with faith and doubt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousThemeRole
Context triple: [John Wheelwright, religiousThemeRole, wrestles with faith and doubt]
  • A. religiousTextRole
    Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
  • B. religiousOrientationRole
    Indicates a role or position that an entity holds in relation to a particular religious orientation or affiliation.
  • C. religiousAndSpiritualRole
    Indicates that an entity holds or fulfills a religious or spiritual function, office, or responsibility in relation to another entity or context.
  • D. religiousAllegoryRole
    Indicates that one entity serves as a symbolic or allegorical representation of a religious concept, figure, or theme in relation to another entity.
  • E. associatedReligionRole
    Indicates that one entity holds a specific religious role, office, or function in relation to another entity.
  • F. None of above. chosen

Provenance (4 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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe766490c081908c49c8cc07d0ae9b completed May 8, 2026, 11:48 p.m.
PD Predicate disambiguation batch_69fe75bb5f4481908572a5ffcbdc5154 completed May 8, 2026, 11:46 p.m.
PDg Predicate description generation batch_69fe7663b5bc81909524c40d3a172512 completed May 8, 2026, 11:48 p.m.
Created at: April 29, 2026, 9:06 p.m.