Triple

T90356
Position Surface form Disambiguated ID Type / Status
Subject James E1815 entity
Predicate hasBiblicalConnection P3890 FINISHED
Object yes 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: yes | Statement: [James, hasBiblicalConnection, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBiblicalConnection
Context triple: [James, hasBiblicalConnection, yes]
  • A. hasViewOnScripture
    Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
  • B. scripturalBasis
    Indicates that one entity serves as the religious or scriptural foundation, support, or justification for another entity (such as a belief, practice, or doctrine).
  • C. hasLanguageOfScripture
    Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
  • D. hasSpiritualSource
    Indicates that something originates from, is derived from, or is fundamentally grounded in a spiritual or non-material source.
  • E. hasSacredText
    Indicates that an entity possesses or is associated with a particular sacred or religious text.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24feef1b08190bb9525f71cce053e completed Feb. 28, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69a24eb82d408190b0f9c786152e8e4c completed Feb. 28, 2026, 2:11 a.m.
PDg Predicate description generation batch_69a24fed6b8c819080a6c0cd3b16e6bd completed Feb. 28, 2026, 2:16 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.