Triple

T2081999
Position Surface form Disambiguated ID Type / Status
Subject Sirena E45263 entity
Predicate storyElement P35676 FINISHED
Object disobedience to her mother 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: disobedience to her mother | Statement: [Sirena, storyElement, disobedience to her mother]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: storyElement
Context triple: [Sirena, storyElement, disobedience to her mother]
  • A. storyBy
    Indicates that one entity is the creator or author of the story associated with another entity.
  • B. storyFunction
    Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
  • C. storyline
    Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
  • D. narrativePassage
    Indicates that a segment of text functions as a narrative passage, conveying events, actions, or storytelling rather than exposition, dialogue, or other discourse types.
  • E. sectionNarrator
    Indicates that a given entity serves as the narrator or narrative voice for a particular section of a work.
  • F. None of above. chosen

Provenance (4 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba35c2588190933dba882f52dd17 completed March 7, 2026, 5:40 a.m.
PD Predicate disambiguation batch_69abb7b298a48190b4bdf7c9800b058d completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb94ec400819097596732aabed854 completed March 7, 2026, 5:36 a.m.
Created at: March 4, 2026, 7:41 p.m.