Triple

T1699600
Position Surface form Disambiguated ID Type / Status
Subject Penguin Random House E36737 entity
Predicate hasImprint P2763 FINISHED
Object Del Rey Books E19006 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: Del Rey Books | Statement: [Penguin Random House, hasImprint, Del Rey Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Del Rey Books
Context triple: [Penguin Random House, hasImprint, Del Rey Books]
  • A. Del Rey Books chosen
    Del Rey Books is a prominent American publishing imprint best known for its science fiction and fantasy titles.
  • B. 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.
  • C. 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.
  • D. Henry Holt and Company
    Henry Holt and Company is a long-established American publishing house known for its wide range of literary, nonfiction, and academic titles.
  • E. Doubleday
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62d3c57c81908887844e885062e3 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad799d59a48190b1efb101c2a67e4f completed March 8, 2026, 1:29 p.m.
Created at: March 4, 2026, 7:30 p.m.