Triple

T6796328
Position Surface form Disambiguated ID Type / Status
Subject Good Omens E156061 entity
Predicate publisher P29 FINISHED
Object Gollancz E276533 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: Gollancz | Statement: [Good Omens, publisher, Gollancz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gollancz
Context triple: [Good Omens, publisher, Gollancz]
  • A. Gollancz chosen
    Gollancz is a renowned British publishing imprint best known for its influential catalog of science fiction, fantasy, and horror literature.
  • B. Orbit Books
    Orbit Books is a major science fiction and fantasy publishing imprint known for releasing works by prominent genre authors worldwide.
  • C. Harper Voyager
    Harper Voyager is a publishing imprint specializing in science fiction and fantasy titles, operating under the global publisher HarperCollins.
  • D. Hyperion Books
    Hyperion Books is an American publishing imprint, originally founded by The Walt Disney Company, known for releasing a wide range of popular fiction and non-fiction titles.
  • 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 (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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c872f0819092f21e8fdbecc667 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74253f9b4819099057c730237c269 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:15 p.m.