Triple

T29824701
Position Surface form Disambiguated ID Type / Status
Subject Baba Yaga E757347 entity
Predicate functionInTales P95054 FINISHED
Object tests the hero or heroine 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: tests the hero or heroine | Statement: [Baba Yaga, functionInTales, tests the hero or heroine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: functionInTales
Context triple: [Baba Yaga, functionInTales, tests the hero or heroine]
  • A. storyFunction
    Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
  • B. functionInLiterature
    Indicates that one entity serves a particular narrative, rhetorical, or thematic role within a literary work in relation to another entity.
  • C. folkloreFunction chosen
    Indicates that something serves a role, purpose, or function within a body of folklore, such as myths, legends, or traditional narratives.
  • D. comicFunction
    Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
  • E. tellsStoriesIn
    Indicates that one entity narrates or recounts stories within or to the context of another entity (such as a place, group, or medium).
  • 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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6bbf6e33c819086e5176d64e7a614 completed May 3, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69f6ba6b1e6c8190adf9d6a257e0b744 completed May 3, 2026, 3 a.m.
Created at: April 29, 2026, 5:31 p.m.