Triple

T20135802
Position Surface form Disambiguated ID Type / Status
Subject Suka E491021 entity
Predicate audienceOfNarration P14921 FINISHED
Object assembled sages 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: assembled sages | Statement: [Suka, audienceOfNarration, assembled sages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audienceOfNarration
Context triple: [Suka, audienceOfNarration, assembled sages]
  • A. audienceWithinStory
    Indicates that an audience exists as an internal, in-story observer or listener within the narrative itself, rather than outside it.
  • B. narratorOf
    Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
  • C. narratorType
    Indicates the narrative perspective or role from which a story or account is being told.
  • D. narratedTo chosen
    Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
  • E. audienceRole
    Indicates the role or function an entity has as part of an audience in relation to another entity or event.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66766e46c81908721fd47066dc9f8 completed April 20, 2026, 5:50 p.m.
PD Predicate disambiguation batch_69e54cfb0d0081908e789b9b57e96668 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:32 p.m.