Triple

T18495789
Position Surface form Disambiguated ID Type / Status
Subject NTV E451942 entity
Predicate alsoKnownAs P39 FINISHED
Object Nihon Terebi 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: Nihon Terebi | Statement: [NTV, alsoKnownAs, Nihon Terebi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nihon Terebi
Context triple: [NTV, alsoKnownAs, Nihon Terebi]
  • A. Nippon Television Network chosen
    Nippon Television Network is a major Japanese commercial television broadcaster based in Tokyo and part of the influential Yomiuri media conglomerate.
  • B. Tokyo Broadcasting Station
    Tokyo Broadcasting Station was an early Japanese radio broadcaster that served as a forerunner to the modern public broadcaster NHK.
  • C. TV Asahi
    TV Asahi is a major Japanese television network and broadcaster known for its nationwide programming, including news, entertainment, and anime.
  • D. NHK
    NHK is Japan's national public broadcasting organization, operating multiple television and radio networks domestically and internationally.
  • E. 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.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c09a8081909cf0b44df3682bb8 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.