Triple

T20661266
Position Surface form Disambiguated ID Type / Status
Subject Rage E507764 entity
Predicate publisher P29 FINISHED
Object Signet Books NE NERFINISHED

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: Signet Books | Statement: [Rage, publisher, Signet Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Signet Books
Context triple: [Rage, publisher, Signet Books]
  • A. Signet Books chosen
    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.
  • B. Signet Press
    Signet Press is an influential Indian publishing house known for producing high-quality literary and historical works, including major titles of the independence era.
  • C. Signet Library
    The Signet Library is a historic neoclassical library and legal institution in Edinburgh, Scotland, renowned as a key center for the Scottish legal profession and scholarship.
  • D. Avon Books
    Avon Books is a major American paperback and romance fiction publisher that operates as an imprint of HarperCollins.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f16adc8190b2b9a69586fa7444 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.