Triple

T6796145
Position Surface form Disambiguated ID Type / Status
Subject The Light Fantastic E156057 entity
Predicate publisher P29 FINISHED
Object Corgi Books E620049 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: Corgi Books | Statement: [The Light Fantastic, publisher, Corgi Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corgi Books
Context triple: [The Light Fantastic, publisher, Corgi Books]
  • A. Corgi Books chosen
    Corgi Books is a British paperback publishing imprint known for releasing popular fiction and fantasy titles, including Terry Pratchett’s Discworld series.
  • B. Arrow Books
    Arrow Books is a British publishing imprint of Cornerstone, part of Penguin Random House UK, known for releasing popular commercial fiction and non-fiction titles.
  • C. Penguin Books
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • D. Puffin Books
    Puffin Books is a prominent children’s book imprint known for publishing classic and contemporary literature for young readers worldwide.
  • E. Virgin Books
    Virgin Books is a British publishing imprint associated with Richard Branson’s Virgin Group, known for releasing a range of non-fiction, biographies, and entertainment-related 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c872f0819092f21e8fdbecc667 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f94b7388190806939f8e8982d2e completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:15 p.m.