Triple

T19335541
Position Surface form Disambiguated ID Type / Status
Subject The Green Fairy Book E483612 entity
Predicate hasPart P35 FINISHED
Object The Three Dwarfs NE NERFINISHED

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: The Three Dwarfs | Statement: [The Green Fairy Book, hasPart, The Three Dwarfs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Three Dwarfs
Context triple: [The Green Fairy Book, hasPart, The Three Dwarfs]
  • A. "The Three Dwarfs" chosen
    "The Three Dwarfs" is a European fairy tale, popularized in Andrew Lang’s collections, about a mistreated girl who gains magical aid from three dwarfs and ultimately triumphs over her cruel stepfamily.
  • B. Woodmansterne
    Woodmansterne is a village and residential area in the borough of Reigate and Banstead in Surrey, England.
  • C. The Three Bears
    The Three Bears is a classic English fairy tale about a family of three bears whose home is visited by the curious girl Goldilocks.
  • D. Snow White and the Seven Dwarfs
    Snow White and the Seven Dwarfs is a 1937 American animated musical fantasy film widely recognized as the first full-length cel-animated feature in motion picture history.
  • E. Three Good Fairies
    The Three Good Fairies are a trio of benevolent magical guardians from Disney's "Sleeping Beauty" who protect Princess Aurora using their distinct personalities and powers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.