Triple

T1699607
Position Surface form Disambiguated ID Type / Status
Subject Penguin Random House E36737 entity
Predicate hasImprint P2763 FINISHED
Object Vintage Books E49810 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: Vintage Books | Statement: [Penguin Random House, hasImprint, Vintage Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vintage Books
Context triple: [Penguin Random House, hasImprint, Vintage Books]
  • A. Vintage Books chosen
    Vintage Books is a prominent publishing imprint known for its wide-ranging catalog of literary fiction, classics, and quality non-fiction titles.
  • B. Lifelong Books
    Lifelong Books is a publishing imprint of Perseus Books Group that focuses on practical, health, wellness, and self-help titles aimed at improving everyday life.
  • C. Gallery Books
    Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
  • D. Pan Books
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • E. Oxford World’s Classics
    Oxford World’s Classics is a long-running series of affordable, scholarly editions of major works of literature and thought from around the world.
  • 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.