Triple

T14834391
Position Surface form Disambiguated ID Type / Status
Subject Fire & Blood E348789 entity
Predicate publisher P29 FINISHED
Object HarperVoyager E331278 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: HarperVoyager | Statement: [Fire & Blood, publisher, HarperVoyager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HarperVoyager
Context triple: [Fire & Blood, publisher, HarperVoyager]
  • A. Harper Perennial
    Harper Perennial is an imprint of HarperCollins known for publishing contemporary literary fiction, nonfiction, and reissues of classic works in affordable paperback editions.
  • B. HarperCollins
    HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
  • C. The Harvill Press
    The Harvill Press is a British publishing house known for its high-quality literary fiction and translated works from around the world.
  • D. Penguin Books
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • E. Harper Voyager chosen
    Harper Voyager is a publishing imprint specializing in science fiction and fantasy titles, operating under the global publisher HarperCollins.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a5d8888190821988ad00351d05 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:52 a.m.