Triple

T22801766
Position Surface form Disambiguated ID Type / Status
Subject Kim Je-hyuk E564412 entity
Predicate originalNetwork P2594 FINISHED
Object tvN 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: tvN | Statement: [Kim Je-hyuk, originalNetwork, tvN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tvN
Context triple: [Kim Je-hyuk, originalNetwork, tvN]
  • A. tvN chosen
    tvN is a South Korean cable television network known for producing popular and critically acclaimed dramas, variety shows, and entertainment programs.
  • B. TVING
    TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
  • C. TVN
    TVN is Chile's main public television network, known for its nationwide news, entertainment, and cultural programming.
  • D. MBC Dramia
    MBC Dramia is a large historical drama filming set and tourist attraction in Yongin, South Korea, featuring full-scale replicas of traditional Korean palaces and villages used in popular TV series.
  • E. Ryomyong TV
    Ryomyong TV is a North Korean television channel that broadcasts state-approved news, propaganda, and entertainment content under the country’s tightly controlled media system.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdd87648190ba30f0b8f3ef7346 completed April 29, 2026, 3:37 a.m.
Created at: April 17, 2026, 3:31 p.m.