Triple

T18495816
Position Surface form Disambiguated ID Type / Status
Subject NTV E451942 entity
Predicate notableProgram P4 FINISHED
Object News Zero 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: News Zero | Statement: [NTV, notableProgram, News Zero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: News Zero
Context triple: [NTV, notableProgram, News Zero]
  • A. News Zero chosen
    News Zero is a Japanese nightly news and current affairs television program broadcast on Nippon TV, known for its in-depth coverage and commentary on domestic and international issues.
  • B. Newsy
    Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
  • C. Newsy
    Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
  • D. News Bunny
    News Bunny was a costumed rabbit character who served as a comedic, dancing on-screen news mascot on the British morning television show *The Big Breakfast* in the 1990s.
  • E. Newsjack
    Newsjack is a British satirical radio comedy show on BBC Radio 4 Extra that features topical sketches and one-liners, often written by both commissioned and non-commissioned writers.
  • 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.