Triple

T23251579
Position Surface form Disambiguated ID Type / Status
Subject Show! Music Core E581743 entity
Predicate broadcastOn P833 FINISHED
Object MBC TV 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: MBC TV | Statement: [Show! Music Core, broadcastOn, MBC TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBC TV
Context triple: [Show! Music Core, broadcastOn, MBC TV]
  • 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. KBS
    KBS is South Korea's national public broadcaster, known for its television, radio, and online services.
  • C. KBS
    KBS is a major bus terminal in Bengaluru, India, serving as one of the city’s primary hubs for intra-city and inter-city bus transport.
  • D. JTBC
    JTBC is a South Korean nationwide cable and satellite television network known for its high-quality dramas, news, and variety programming.
  • E. 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.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f7249481909424867e9542d35e completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.