Triple

T17876206
Position Surface form Disambiguated ID Type / Status
Subject Marc Brown E446960 entity
Predicate notableWork P4 FINISHED
Object Arthur's Nose NE NERFINISHED

How this triple was built (3 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: Arthur's Nose | Statement: [Marc Brown, notableWork, Arthur's Nose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur's Nose
Context triple: [Marc Brown, notableWork, Arthur's Nose]
  • A. The Queen's Nose
    The Queen's Nose is a British children's television series, based on Dick King-Smith's novel, about a magical 50p coin that grants wishes with unexpected consequences.
  • B. The Wayside
    The Wayside is a historic house in Concord, Massachusetts, best known as the former home of authors Nathaniel Hawthorne, Louisa May Alcott, and Margaret Sidney.
  • C. The Black Windmill
    The Black Windmill is a 1974 British spy thriller film directed by Don Siegel and starring Michael Caine as an MI6 agent whose son is kidnapped by arms dealers.
  • D. Hope's Nose
    Hope's Nose is a prominent limestone headland and geological Site of Special Scientific Interest on the coast of Torquay in Devon, England, known for its rich marine life and fossil-bearing rocks.
  • E. The Pantiles
    The Pantiles is a historic colonnaded promenade and shopping area in Royal Tunbridge Wells, famed for its Georgian architecture, boutiques, and cafés.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur's Nose
Target entity description: "Arthur's Nose" is a children's picture book by Marc Brown that introduced the character Arthur the aardvark, who later became the star of the popular "Arthur" book and television series.
  • A. The Queen's Nose
    The Queen's Nose is a British children's television series, based on Dick King-Smith's novel, about a magical 50p coin that grants wishes with unexpected consequences.
  • B. The Wayside
    The Wayside is a historic house in Concord, Massachusetts, best known as the former home of authors Nathaniel Hawthorne, Louisa May Alcott, and Margaret Sidney.
  • C. The Black Windmill
    The Black Windmill is a 1974 British spy thriller film directed by Don Siegel and starring Michael Caine as an MI6 agent whose son is kidnapped by arms dealers.
  • D. Hope's Nose
    Hope's Nose is a prominent limestone headland and geological Site of Special Scientific Interest on the coast of Torquay in Devon, England, known for its rich marine life and fossil-bearing rocks.
  • E. The Pantiles
    The Pantiles is a historic colonnaded promenade and shopping area in Royal Tunbridge Wells, famed for its Georgian architecture, boutiques, and cafés.
  • F. None of above. chosen

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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.