Triple

T17713001
Position Surface form Disambiguated ID Type / Status
Subject Heracleon E441616 entity
Predicate exegeticalMethod P18616 FINISHED
Object allegorical interpretation 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: allegorical interpretation | Statement: [Heracleon, exegeticalMethod, allegorical interpretation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exegeticalMethod
Context triple: [Heracleon, exegeticalMethod, allegorical interpretation]
  • A. styleOfExegesis chosen
    Indicates the particular interpretive method or approach applied when analyzing or explaining a text.
  • B. scripturalExpertise
    Indicates a relationship where one entity possesses specialized knowledge or authoritative understanding of religious scriptures in relation to another entity or context.
  • C. doctrinalCriticismBy
    Indicates that a person or group expresses critical evaluation or disapproval of another’s doctrines, teachings, or belief system.
  • D. scripturalCorpusAnalyzed
    Indicates that a particular scriptural corpus has been examined or studied, typically in a systematic or scholarly manner.
  • E. scriptureApproach
    Indicates the method, attitude, or interpretive framework with which an entity engages with or understands scripture.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729c2c98819086fe48420217308d completed April 19, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69e3cde601d4819097903f471f1fe99a completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:06 a.m.