Triple

T20598377
Position Surface form Disambiguated ID Type / Status
Subject Winnie the Pooh and the Blustery Day E506109 entity
Predicate basedOnWorkBy P2806 FINISHED
Object A. A. Milne 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: A. A. Milne | Statement: [Winnie the Pooh and the Blustery Day, basedOnWorkBy, A. A. Milne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A. A. Milne
Context triple: [Winnie the Pooh and the Blustery Day, basedOnWorkBy, A. A. Milne]
  • A. A. A. Milne chosen
    A. A. Milne was an English author and playwright best known as the creator of the beloved children's character Winnie-the-Pooh.
  • B. Alasdair Milne
    Alasdair Milne was a British television executive best known for serving as Director-General of the BBC during the 1980s.
  • C. J. M. Barrie
    J. M. Barrie was a Scottish novelist and playwright best known as the creator of Peter Pan, the boy who wouldn’t grow up.
  • D. Robert May
    Robert May was a prominent theoretical ecologist and mathematical biologist known for his influential work on population dynamics and the application of chaos theory to ecology.
  • E. Kenneth Grahame
    Kenneth Grahame was a British writer best known for his classic children’s novel "The Wind in the Willows," which has inspired numerous adaptations in literature and film.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1e251c8190926dafe1402eb63c completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:40 a.m.