Triple

T19754905
Position Surface form Disambiguated ID Type / Status
Subject Snow Crash E474477 entity
Predicate publisher P29 FINISHED
Object Bantam Books NE NERFINISHED

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: Bantam Books | Statement: [Snow Crash, publisher, Bantam Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bantam Books
Context triple: [Snow Crash, publisher, Bantam Books]
  • A. Bantam Books chosen
    Bantam Books is a major American publishing imprint known for its mass-market paperbacks and genre fiction titles.
  • B. Bantam Press
    Bantam Press is a British publishing imprint of Transworld Publishers, known for releasing popular fiction and non-fiction titles by bestselling authors.
  • C. Ballantine Books
    Ballantine Books is a major American book publisher, best known as a long-standing imprint of Random House that has released a wide range of popular fiction and nonfiction titles.
  • D. 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.
  • E. Anchor Books
    Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e6529dada081909c5b4d65247c6032 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.