Triple

T4281492
Position Surface form Disambiguated ID Type / Status
Subject Keeping Faith: Memoirs of a President E97159 entity
Predicate publisher P29 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: [Keeping Faith: Memoirs of a President, publisher, Bantam Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bantam Books
Context triple: [Keeping Faith: Memoirs of a President, publisher, 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. Bantam Press
    Bantam Press is a British publishing imprint of Transworld Publishers, known for releasing popular fiction and non-fiction titles by bestselling authors.
  • C. 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.
  • D. 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.
  • E. Anchor Books
    Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503938f481909505e0a322dd2b6c completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bb0168819082a49347fdfe0997 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.