Triple

T30557110
Position Surface form Disambiguated ID Type / Status
Subject Sapho and Phao E777727 entity
Predicate allegoricalReading P77707 FINISHED
Object Queen Sapho as an analogue of Queen Elizabeth I 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: Queen Sapho as an analogue of Queen Elizabeth I | Statement: [Sapho and Phao, allegoricalReading, Queen Sapho as an analogue of Queen Elizabeth I]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allegoricalReading
Context triple: [Sapho and Phao, allegoricalReading, Queen Sapho as an analogue of Queen Elizabeth I]
  • A. allegoricalInterpretation chosen
    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).
  • B. allegoryType
    Indicates that one entity serves as a specific kind or category of allegory in relation to another entity.
  • C. allegoricalDomain
    Indicates that one entity serves as the abstract or symbolic domain that another entity allegorically represents or refers to.
  • D. viewOnAllegoricalVerses
    Indicates a stance or interpretation someone holds regarding the meaning, use, or validity of allegorical verses.
  • E. hasAllegoricalFigures
    Indicates that a work, scene, or element includes figures that symbolically represent abstract ideas, concepts, or moral qualities.
  • 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_69f2249ed41c8190b175170ecfd6e1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7221dc9a88190bb8194fcc29c42bc completed May 3, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
Created at: April 29, 2026, 8:21 p.m.