Triple

T10394180
Position Surface form Disambiguated ID Type / Status
Subject Our Kind of Traitor E244965 entity
Predicate publisher P29 FINISHED
Object Viking Books E60544 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: Viking Books | Statement: [Our Kind of Traitor, publisher, Viking Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking Books
Context triple: [Our Kind of Traitor, publisher, Viking Books]
  • A. The Viking Press chosen
    The Viking Press is an American publishing company known for releasing influential literary works by prominent authors throughout the 20th century.
  • B. Voyager Books
    Voyager Books is a science fiction and fantasy imprint of HarperCollins known for publishing major genre authors and series.
  • C. Pantheon Books
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • D. Mariner Books
    Mariner Books is a publishing imprint known for producing a wide range of literary fiction, nonfiction, and classic reprints.
  • E. Schocken Books
    Schocken Books is a distinguished publishing imprint known for its focus on Jewish literature, philosophy, and cultural works.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b795fc8190aa50ce3c7360ff83 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795c8271c81908a6b67822050c06d completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.