Triple

T15036343
Position Surface form Disambiguated ID Type / Status
Subject The Krotons E378485 entity
Predicate novelisationPublisher P35528 FINISHED
Object Target Books E1087533 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: Target Books | Statement: [The Krotons, novelisationPublisher, Target Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Target Books
Context triple: [The Krotons, novelisationPublisher, Target Books]
  • A. Target Books chosen
    Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
  • B. Word Books
    Word Books was a Christian publishing company known for producing religious and inspirational literature.
  • C. Pan Books
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • D. Buchs
    Buchs is a municipality in the canton of St. Gallen in northeastern Switzerland, known as an industrial and commercial center near the Liechtenstein border.
  • E. OR Books
    OR Books is an independent, progressive publishing house known for releasing politically engaged and innovative nonfiction and fiction, often in digital-first formats.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddfc13481909333690016650410 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.