Triple

T14571449
Position Surface form Disambiguated ID Type / Status
Subject Susanna and the Elders E341923 entity
Predicate narrativeRoleOfElders P57036 FINISHED
Object corrupt judges 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: corrupt judges | Statement: [Susanna and the Elders, narrativeRoleOfElders, corrupt judges]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeRoleOfElders
Context triple: [Susanna and the Elders, narrativeRoleOfElders, corrupt judges]
  • A. inNarrativeRole
    Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
  • B. narrativeTradition
    Indicates the storytelling customs, conventions, or patterns that shape how narratives are typically told within a particular culture, group, or context.
  • C. moralNarrativeRole chosen
    Indicates the role an entity plays within a moral storyline or ethical framing, such as being portrayed as virtuous, villainous, victimized, or morally ambiguous.
  • D. 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.
  • 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.