Triple

T19891270
Position Surface form Disambiguated ID Type / Status
Subject The Blue Fairy Book E478035 entity
Predicate containsWork P2011 FINISHED
Object The Three Bears 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 Bears | Statement: [The Blue Fairy Book, containsWork, The Three Bears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Three Bears
Context triple: [The Blue Fairy Book, containsWork, The Three Bears]
  • A. The Three Bears chosen
    The Three Bears is a classic English fairy tale about a family of three bears whose home is visited by the curious girl Goldilocks.
  • B. The Three Little Pigs
    The Three Little Pigs is a classic folk tale, popularized by a 1933 Disney animated short, about three pigs who build houses of different materials to protect themselves from a Big Bad Wolf.
  • C. Little Bear
    Little Bear is a film production company known for its involvement in notable French cinema projects.
  • D. Little Bear
    Little Bear is a tiny Iroquois warrior who comes to life from a toy figure in the children's fantasy novel "The Indian in the Cupboard."
  • E. Little Bear
    Little Bear is a classic children's book series created by Else Holmelund Minarik and illustrated by Maurice Sendak, following the gentle adventures of a young bear and his family.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590e02388190ab82918750cc2647 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.