Triple

T4805513
Position Surface form Disambiguated ID Type / Status
Subject Tales from the White Hart E106936 entity
Predicate publisher P29 FINISHED
Object Ballantine Books E102855 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: Ballantine Books | Statement: [Tales from the White Hart, publisher, Ballantine Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballantine Books
Context triple: [Tales from the White Hart, publisher, Ballantine Books]
  • A. Ballantine Books chosen
    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.
  • B. Bantam Books
    Bantam Books is a major American publishing imprint known for its mass-market paperbacks and genre fiction titles.
  • C. 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.
  • D. Signet Books
    Signet Books is an American paperback publishing imprint known for releasing popular fiction and genre titles, including works by major authors such as Stephen King.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c678e58819094cdf18d8c5ea96f completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9e1ea88190b098d5203bd1d145 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:23 p.m.