Triple

T17313727
Position Surface form Disambiguated ID Type / Status
Subject Kiner's Korner E420366 entity
Predicate productionCompany P490 FINISHED
Object WOR-TV sports department E65996 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: WOR-TV sports department | Statement: [Kiner's Korner, productionCompany, WOR-TV sports department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WOR-TV sports department
Context triple: [Kiner's Korner, productionCompany, WOR-TV sports department]
  • A. WWOR-TV chosen
    WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. TVA Sports
    TVA Sports is a Canadian French-language sports television network that broadcasts a wide range of live sporting events, including major soccer, hockey, and other professional leagues.
  • D. WESPN
    WESPN is a track from Sheck Wes’s debut studio album "Mudboy," known for its raw energy and aggressive, minimalist production.
  • E. WOR (AM)
    WOR (AM) is a long-running New York City talk radio station known for its news, talk, and syndicated programming.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399b4dcc8190996d79d04ba88795 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e6e830819097b33d6b99232727 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.