Triple

T13508927
Position Surface form Disambiguated ID Type / Status
Subject Girl Meets Boy E321085 entity
Predicate publisher P29 FINISHED
Object Canongate Books E108673 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 Books | Statement: [Girl Meets Boy, publisher, Canongate Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canongate Books
Context triple: [Girl Meets Boy, publisher, Canongate Books]
  • A. Canongate Books chosen
    Canongate Books is an independent Edinburgh-based publishing house known for its innovative fiction and non-fiction lists and for championing distinctive literary voices.
  • B. Canongate
    Canongate is a historic street and district in Edinburgh’s Old Town, known for its royal connections and significant civic and religious buildings.
  • C. Watergate East
    Watergate East is a prominent residential building within Washington, D.C.’s iconic Watergate complex, known for its distinctive modernist architecture and proximity to the site of the Watergate scandal.
  • D. Whitegate
    Whitegate is a residential suburb within the town of Chadderton in Greater Manchester, England.
  • E. The Truth Will Out
    The Truth Will Out is a novel by British writer John Bowen, known for its psychologically driven narrative and exploration of moral ambiguity.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548e51b881909a3384812556bc3d completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.