Triple

T30745209
Position Surface form Disambiguated ID Type / Status
Subject Gospel of John chapter 10 E782797 entity
Predicate intertextualAllusion P52226 FINISHED
Object Ezekiel 34 (shepherds of Israel) 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: Ezekiel 34 (shepherds of Israel) | Statement: [Gospel of John chapter 10, intertextualAllusion, Ezekiel 34 (shepherds of Israel)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intertextualAllusion
Context triple: [Gospel of John chapter 10, intertextualAllusion, Ezekiel 34 (shepherds of Israel)]
  • A. intertextualRelation chosen
    Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another text.
  • B. containsAllusion
    Indicates that one entity includes or incorporates an indirect reference or allusion to another entity.
  • C. scriptureAllusion
    Indicates that one entity makes reference to, echoes, or is inspired by a passage, theme, or element from a scriptural text found in another entity.
  • D. allegoricalInterpretation
    Indicates that one entity is interpreted as symbolically representing deeper, often moral or spiritual, meanings within another entity (such as a text, image, or event).
  • E. scripturalAllusion
    Indicates that one entity references, echoes, or draws upon content, themes, or language from a scriptural or sacred text in relation to another entity.
  • 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_69f224aeb1588190897d395e8ed2acb8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fcf1b3d9a08190850b388308656266 completed May 7, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69fcf0226d8c8190b23dceafb1794995 completed May 7, 2026, 8:03 p.m.
Created at: April 29, 2026, 8:38 p.m.