Triple

T2188681
Position Surface form Disambiguated ID Type / Status
Subject Fahrenheit 451 E49811 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: [Fahrenheit 451, publisher, Ballantine Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballantine Books
Context triple: [Fahrenheit 451, 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf373c608190b7716c137b3e9fe9 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dada268819082ddc4acd58e19f3 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.