Triple

T14571448
Position Surface form Disambiguated ID Type / Status
Subject Susanna and the Elders E341923 entity
Predicate narrativeRoleOfSusanna P101050 FINISHED
Object virtuous woman falsely accused 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: virtuous woman falsely accused | Statement: [Susanna and the Elders, narrativeRoleOfSusanna, virtuous woman falsely accused]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeRoleOfSusanna
Context triple: [Susanna and the Elders, narrativeRoleOfSusanna, virtuous woman falsely accused]
  • A. narrativeSubject
    Indicates that an entity functions as the main subject or focal point within a narrative or story.
  • B. inNarrativeRole chosen
    Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
  • C. narrativeRoleContext
    Indicates the contextual narrative function or role an entity plays within a story or discourse (e.g., protagonist, antagonist, narrator) relative to other elements.
  • D. narratorRole
    Indicates that one entity serves as the narrator of another entity (such as a story, text, or media work), specifying the narrative role or function it performs.
  • E. narratesAs
    Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f33b1c8190bb447788bfd28d51 completed April 14, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69de5c57489c8190b57917be1dba6ae6 completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:23 a.m.