Triple

T1699616
Position Surface form Disambiguated ID Type / Status
Subject Penguin Random House E36737 entity
Predicate hasImprint P2763 FINISHED
Object Anchor Books E52312 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: Anchor Books | Statement: [Penguin Random House, hasImprint, Anchor Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anchor Books
Context triple: [Penguin Random House, hasImprint, Anchor Books]
  • A. Anchor Books chosen
    Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
  • B. Simon & Schuster
    Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
  • C. Bantam Books
    Bantam Books is a major American publishing imprint known for its mass-market paperbacks and genre fiction titles.
  • D. Doubleday
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • E. Riverhead Books
    Riverhead Books is a prominent American publishing imprint known for its innovative and literary fiction and nonfiction titles by acclaimed contemporary authors.
  • 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_69ada0ccf91881909f788d425f66d9eb completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.