Triple

T11747368
Position Surface form Disambiguated ID Type / Status
Subject Glycerine E279318 entity
Predicate producer P490 FINISHED
Object Alan Winstanley E812185 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: Alan Winstanley | Statement: [Glycerine, producer, Alan Winstanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Winstanley
Context triple: [Glycerine, producer, Alan Winstanley]
  • A. Alan Winstanley chosen
    Alan Winstanley is a British record producer and audio engineer best known for his long-running production partnership with Clive Langer on numerous influential pop and rock albums.
  • B. Thomas Spence
    Thomas Spence was a 19th-century figure in Canadian history, remembered locally enough that the community of Spences Bridge in British Columbia was named in his honor.
  • C. Samuel Sharp
    Samuel Sharp is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Sharp.
  • D. Samuel Mather
    Samuel Mather was a 17th-century New England Puritan minister and writer, known as a member of the influential Mather family of colonial Boston.
  • E. Samuel Mather
    Samuel Mather was a prominent Cleveland industrialist and philanthropist from the influential Mather family, known for his major role in the Great Lakes shipping and iron ore industries.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1308339ac8190b579a8c1bee2a2c2 completed April 28, 2026, 10:11 p.m.
Created at: April 8, 2026, 9:41 p.m.