Triple

T21108832
Position Surface form Disambiguated ID Type / Status
Subject A Suitable Boy E520123 entity
Predicate publisher P29 FINISHED
Object Orion 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: Orion Books | Statement: [A Suitable Boy, publisher, Orion Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orion Books
Context triple: [A Suitable Boy, 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. Orbis Books
    Orbis Books is a Catholic publishing house known for progressive and liberation theology titles that engage issues of social justice and faith.
  • D. Mariner Books
    Mariner Books is a publishing imprint known for producing a wide range of literary fiction, nonfiction, and classic reprints.
  • E. Voyager Books
    Voyager Books is a science fiction and fantasy imprint of HarperCollins known for publishing major genre authors and series.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e720ffa998819082db225363ac3b23 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.