Triple

T20483024
Position Surface form Disambiguated ID Type / Status
Subject The Allegory of Christian Heaven and Hell E502511 entity
Predicate useOfSymbolism P107935 FINISHED
Object moral allegory of afterlife 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: moral allegory of afterlife | Statement: [The Allegory of Christian Heaven and Hell, useOfSymbolism, moral allegory of afterlife]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: useOfSymbolism
Context triple: [The Allegory of Christian Heaven and Hell, useOfSymbolism, moral allegory of afterlife]
  • A. symbolismIn chosen
    Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
  • B. symbolismFocus
    Indicates that the primary emphasis of a work, element, or representation is on its symbolic meaning rather than its literal or functional aspects.
  • C. incorporatesSymbolismFrom
    Indicates that one entity includes or integrates symbolic elements, motifs, or meanings derived from another entity.
  • D. fieldSymbolism
    Indicates the symbolic meaning or thematic associations that a field (as a setting, area, or domain) conveys within a given context.
  • E. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b58c4b4819083d0ba2397dbfb0b completed April 20, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
Created at: April 16, 2026, 11:34 a.m.