Triple

T19544060
Position Surface form Disambiguated ID Type / Status
Subject June Brown E488990 entity
Predicate hasSignatureRole P25711 FINISHED
Object Dot Cotton in EastEnders 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: Dot Cotton in EastEnders | Statement: [June Brown, hasSignatureRole, Dot Cotton in EastEnders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dot Cotton in EastEnders
Context triple: [June Brown, hasSignatureRole, Dot Cotton in EastEnders]
  • A. Dot Cotton chosen
    Dot Cotton is a long-running, iconic character from the British soap opera EastEnders, known for her devout Christian faith, chain-smoking habit, and moral yet often troubled presence in Albert Square.
  • B. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • C. Seaborn Cotton
    Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
  • D. Stroudwater cloth
    Stroudwater cloth is a historic woolen textile produced in the Stroud region of Gloucestershire, England, renowned for its high quality and use in military uniforms and fine clothing.
  • E. Cotton Nero A.x
    Cotton Nero A.x is a 14th-century Middle English manuscript best known for preserving the unique texts of Sir Gawain and the Green Knight and three other alliterative poems.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.