Triple

T15035319
Position Surface form Disambiguated ID Type / Status
Subject The Smugglers E378463 entity
Predicate hasNovelisation P35529 FINISHED
Object yes LITERAL 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: yes | Statement: [The Smugglers, hasNovelisation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNovelisation
Context triple: [The Smugglers, hasNovelisation, yes]
  • A. hasNovelization chosen
    Indicates that a work has been adapted into a novel or prose narrative form.
  • B. hasGraphicNovelAdaptation
    Indicates that a work has been adapted into a graphic novel format.
  • C. adaptedNovel
    Indicates that a novel has been adapted into another medium, such as a film, television series, or stage production.
  • D. adaptationOfFirstNovel
    Indicates that the subject work is an adaptation specifically of the first novel in a given series or by a particular author.
  • E. publisherOfNovelization
    Indicates that one entity is the publishing company responsible for releasing the novelization version of another entity (such as a film, game, or other work).
  • F. None of above.

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.
PD Predicate disambiguation batch_69de9a67cbc481909c19c2de57de4eb7 completed April 14, 2026, 7:50 p.m.
Created at: April 10, 2026, 2:59 a.m.