Triple

T20878834
Position Surface form Disambiguated ID Type / Status
Subject Nut Room E514090 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Mr. Salt 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: Mr. Salt | Statement: [Nut Room, associatedWithCharacter, Mr. Salt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Salt
Context triple: [Nut Room, associatedWithCharacter, Mr. Salt]
  • A. Mr. Salt
    Mr. Salt is Veruca Salt’s wealthy, overindulgent father in Roald Dahl’s novel "Charlie and the Chocolate Factory," known for spoiling her every whim.
  • B. Mr. Salt chosen
    Mr. Salt is an animated talking salt shaker character from the children's television series "Blue’s Clues," known as part of the friendly kitchen family who helps teach kids basic concepts.
  • C. Mr. Sparks
    Mr. Sparks is a friendly, mechanically skilled character in the Noddy children's stories who often helps fix things in Toyland.
  • D. Mr Sloane
    Mr Sloane is the amoral, sexually ambiguous young lodger at the center of Joe Orton’s darkly comic play "Entertaining Mr Sloane," whose manipulative charm drives the story’s twisted power dynamics.
  • E. Mr. Salter
    Mr. Salter is a minor but memorable character in Evelyn Waugh’s satirical novel "Scoop," contributing to the book’s comic portrayal of the British press.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6775f108190a79cd5e8c31cecf6 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.