Triple

T24197002
Position Surface form Disambiguated ID Type / Status
Subject South Korean television dramas E599860 entity
Predicate usesSubtitlesIn P47403 FINISHED
Object English 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: English | Statement: [South Korean television dramas, usesSubtitlesIn, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesSubtitlesIn
Context triple: [South Korean television dramas, usesSubtitlesIn, English]
  • A. hasSubtitles
    Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
  • B. supportsSubtitleTrackSelection
    Indicates that an entity provides functionality to choose or switch between available subtitle tracks.
  • C. languageOfSubtitles chosen
    Indicates the language in which the subtitles for a given media item are provided.
  • D. hasSubtitledPortion
    Indicates that a media item contains at least one segment or portion in which subtitles are present.
  • E. hasIntertitlesLanguage
    Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
  • 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e24c103481908ea49dd8e77dee32 completed April 29, 2026, 10:49 a.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:36 p.m.