Triple

T19754164
Position Surface form Disambiguated ID Type / Status
Subject Pocket Canons E474460 entity
Predicate publisherImprint P2763 FINISHED
Object Canongate Pocket Canons E474460 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: Canongate Pocket Canons | Statement: [Pocket Canons, publisherImprint, Canongate Pocket Canons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canongate Pocket Canons
Context triple: [Pocket Canons, publisherImprint, Canongate Pocket Canons]
  • A. Pocket Canons chosen
    Pocket Canons is a series of individually published, often artistically designed editions of books of the Bible produced by the independent publisher Canongate Books.
  • B. The Cannon
    The Cannon is the ring nickname of Shannon Briggs, an American heavyweight boxer and former world champion known for his punching power and outspoken personality.
  • C. Kanonen
    Kanonen is a manga series by Eiji Ōtsuka and Kamui Fujiwara that blends military action with supernatural elements, serving as a precursor to their later work Valkyria.
  • D. Cannon
    Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
  • E. Cannon
    Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529cae048190b4f8e6ba409bcf8e completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
Created at: April 10, 2026, 1:48 p.m.