Triple

T13690493
Position Surface form Disambiguated ID Type / Status
Subject Mickey Mouse & Friends E328246 entity
Predicate setIn P1393 FINISHED
Object Mouseton E175538 NE FINISHED

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: Mouseton | Statement: [Mickey Mouse & Friends, setIn, Mouseton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouseton
Context triple: [Mickey Mouse & Friends, setIn, Mouseton]
  • A. Mouseton chosen
    Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
  • B. Haddon
    Haddon is the middle name of the famed 19th-century British Baptist preacher Charles Haddon Spurgeon, often called the "Prince of Preachers."
  • C. Silksworth
    Silksworth is a residential suburb of Sunderland in North East England, historically a mining village and now known for its housing estates and leisure facilities.
  • D. Moston
    Moston is a small rural village in Cheshire, England, situated near the town of Middlewich.
  • E. Moston
    Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6721c248190ac48491b5f39c8f0 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944b93d88190806d6b5735f7e794 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.