Triple

T1699599
Position Surface form Disambiguated ID Type / Status
Subject Penguin Random House E36737 entity
Predicate hasImprint P2763 FINISHED
Object Bantam Books E50710 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: Bantam Books | Statement: [Penguin Random House, hasImprint, Bantam Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bantam Books
Context triple: [Penguin Random House, hasImprint, 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. 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.
  • C. Anchor Books
    Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
  • D. Doubleday
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • E. Appleton-Century
    Appleton-Century was an American publishing company known for producing influential academic and scientific works in the early to mid-20th century.
  • 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_69ad8ac9ed2c81909fe3fe40515526de completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.