Triple

T2219151
Position Surface form Disambiguated ID Type / Status
Subject Macmillan Publishers E48100 entity
Predicate hasImprint P2763 FINISHED
Object Tor Books E159906 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: Tor Books | Statement: [Macmillan Publishers, hasImprint, Tor Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tor Books
Context triple: [Macmillan Publishers, hasImprint, Tor Books]
  • A. Tor Books chosen
    Tor Books is a major American science fiction and fantasy publishing imprint known for releasing influential genre novels and series.
  • B. Pocket Books
    Pocket Books is a long-running American mass-market paperback publisher known for popular fiction and non-fiction titles, operating as an imprint of Simon & Schuster.
  • C. 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.
  • D. Hyperion Books
    Hyperion Books is an American publishing imprint, originally founded by The Walt Disney Company, known for releasing a wide range of popular fiction and non-fiction titles.
  • E. Del Rey Books
    Del Rey Books is a prominent American publishing imprint best known for its science fiction and fantasy 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc011d50c8190b1c375cc633f8189 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655b369c8190a5d12b87401534d7 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.