Triple

T16139461
Position Surface form Disambiguated ID Type / Status
Subject Tales from Earthsea E391613 entity
Predicate publisher P29 FINISHED
Object Orion Books E57986 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: Orion Books | Statement: [Tales from Earthsea, publisher, Orion Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orion Books
Context triple: [Tales from Earthsea, publisher, Orion Books]
  • A. Orbit Books
    Orbit Books is a major science fiction and fantasy publishing imprint known for releasing works by prominent genre authors worldwide.
  • B. Orion Publishing Group chosen
    Orion Publishing Group is a major British book publisher known for its wide-ranging fiction and non-fiction imprints and as part of the Hachette UK group.
  • C. Mariner Books
    Mariner Books is a publishing imprint known for producing a wide range of literary fiction, nonfiction, and classic reprints.
  • D. Voyager Books
    Voyager Books is a science fiction and fantasy imprint of HarperCollins known for publishing major genre authors and series.
  • E. 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.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b75988819094baaff8f53f48ce completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.