Triple

T34381944
Position Surface form Disambiguated ID Type / Status
Subject Fisher of men E882460 entity
Predicate scripturalReferenceExample P189740 FINISHED
Object Matthew 4:19 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: Matthew 4:19 | Statement: [Fisher of men, scripturalReferenceExample, Matthew 4:19]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scripturalReferenceExample
Context triple: [Fisher of men, scripturalReferenceExample, Matthew 4:19]
  • A. scripturalReference
    Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another entity.
  • B. scripturalReferenceForm chosen
    Indicates that one entity is a particular form, format, or representation used for citing or expressing a scriptural reference in relation to another entity.
  • C. scriptureFor
    Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
  • D. 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).
  • E. scripturalReferenceEnd
    Indicates the ending position or boundary of a cited scriptural passage within a text or reference.
  • 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_69f349c0219881909393bbbc1edc8161 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fcdf2394748190b35cead3e208447d completed May 7, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69fcdbe344ec8190a0471911952f4b82 completed May 7, 2026, 6:37 p.m.
Created at: May 1, 2026, 1:59 a.m.