Triple

T6284477
Position Surface form Disambiguated ID Type / Status
Subject MBC E140863 entity
Predicate majorChannel P45103 FINISHED
Object MBC Drama E140863 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: MBC Drama | Statement: [MBC, majorChannel, MBC Drama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBC Drama
Context triple: [MBC, majorChannel, MBC Drama]
  • A. MBC chosen
    MBC is a major South Korean television network known for broadcasting a wide range of entertainment, news, and cultural programs domestically and internationally.
  • B. 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.
  • C. TVING
    TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
  • D. Gyeongseong Creature
    Gyeongseong Creature is a South Korean period horror-thriller drama series set in 1940s colonial Seoul, following characters who confront monstrous human experiments and dark secrets under Japanese occupation.
  • E. Mr. Entertainment
    Mr. Entertainment is the nickname of Wayne Newton, the longtime Las Vegas headliner famed for his prolific live performances and status as an iconic American entertainer.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063fc906481908283c6c50a212515 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5196864788190934e7c66d450dcf1 completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.