Triple

T944463
Position Surface form Disambiguated ID Type / Status
Subject The Testaments E20380 entity
Predicate publisher P29 FINISHED
Object McClelland & Stewart E108663 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: McClelland & Stewart | Statement: [The Testaments, publisher, McClelland & Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McClelland & Stewart
Context triple: [The Testaments, publisher, McClelland & Stewart]
  • A. McClelland and Stewart chosen
    McClelland and Stewart is a prominent Canadian publishing house known for releasing influential works of Canadian literature, including major novels by authors such as Margaret Atwood.
  • B. Macmillan Publishers
    Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
  • C. HarperCollins
    HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
  • D. Perseus Books Group
    Perseus Books Group is an American publishing company known for its diverse portfolio of imprints and distribution services for independent publishers.
  • E. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a3ed3881908386af140477c514 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a0f4e088190b2fcd01e9475ff5d completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:40 p.m.