Triple

T13936575
Position Surface form Disambiguated ID Type / Status
Subject Cotton Library E335135 entity
Predicate containsWork P2011 FINISHED
Object Cotton Nero A.x E67098 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: Cotton Nero A.x | Statement: [Cotton Library, containsWork, Cotton Nero A.x]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cotton Nero A.x
Context triple: [Cotton Library, containsWork, Cotton Nero A.x]
  • A. Cotton Nero A.x chosen
    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.
  • B. Cotton MS Nero D IV
    Cotton MS Nero D IV is the British Library manuscript shelfmark for the Lindisfarne Gospels, an illuminated early medieval Gospel book famed for its intricate Insular art and Old English gloss.
  • C. Seaborn Cotton
    Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
  • D. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • E. Dot Cotton
    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.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf42878819085146670d7b92605 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce880a98819086ae25d3408bc723 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.