Triple

T18514957
Position Surface form Disambiguated ID Type / Status
Subject Senbatsu E452434 entity
Predicate broadcaster P833 FINISHED
Object NHK 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: NHK | Statement: [Senbatsu, broadcaster, NHK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHK
Context triple: [Senbatsu, broadcaster, NHK]
  • A. NHK chosen
    NHK is Japan's national public broadcasting organization, operating multiple television and radio networks domestically and internationally.
  • B. NHK General TV
    NHK General TV is Japan’s primary public terrestrial television channel operated by NHK, offering a broad mix of news, drama, variety shows, sports, and educational programming nationwide.
  • C. NHK E-TV
    NHK E-TV is a Japanese educational television channel operated by the public broadcaster NHK, featuring programs focused on learning, culture, and children’s content.
  • D. Nippon Television Network
    Nippon Television Network is a major Japanese commercial television broadcaster based in Tokyo and part of the influential Yomiuri media conglomerate.
  • E. Nippon News Network
    Nippon News Network is a Japanese commercial television news network that provides national news programming to its affiliated stations across Japan.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53349415c8190b989b536e2d1c40a completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.