Triple

T2110454
Position Surface form Disambiguated ID Type / Status
Subject Emilia (Othello character) E42487 entity
Predicate literaryAnalysisAspect P16928 FINISHED
Object often discussed as an early feminist voice in Shakespeare 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: often discussed as an early feminist voice in Shakespeare | Statement: [Emilia (Othello character), literaryAnalysisAspect, often discussed as an early feminist voice in Shakespeare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryAnalysisAspect
Context triple: [Emilia (Othello character), literaryAnalysisAspect, often discussed as an early feminist voice in Shakespeare]
  • A. literaryFeature chosen
    Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
  • B. literarySource
    Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
  • C. literaryPurpose
    Indicates the intended function, effect, or communicative goal that a text or passage is meant to achieve within a literary context.
  • D. inLiterature
    Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
  • E. literaryLanguage
    Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb024ce88190a30e1320e53b82bc completed March 7, 2026, 5:43 a.m.
PD Predicate disambiguation batch_69abb7ba08948190a3c236bb53ee4257 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.