Triple

T24202031
Position Surface form Disambiguated ID Type / Status
Subject opera seria E600006 entity
Predicate hasDramaticFeature P21484 FINISHED
Object focus on noble characters 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: focus on noble characters | Statement: [opera seria, hasDramaticFeature, focus on noble characters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDramaticFeature
Context triple: [opera seria, hasDramaticFeature, focus on noble characters]
  • A. hasDramaticElements chosen
    Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
  • B. dramaticFeature
    Indicates that one entity possesses or exhibits a notable dramatic characteristic or element in relation to another entity.
  • C. hasCinematicFeature
    Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
  • D. hasDramaticRelief
    Indicates that one entity provides or contains a moment or element that eases tension or emotional intensity within another entity or context.
  • E. hasDramaticProduction
    Indicates that an entity is associated with or features a specific dramatic production (such as a play, performance, or staged work).
  • 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca1f3b481908c14052a8435fd21 completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:36 p.m.