Triple

T17272394
Position Surface form Disambiguated ID Type / Status
Subject Nick Clooney E419294 entity
Predicate workedAt P7 FINISHED
Object WGR-TV E419294 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: WGR-TV | Statement: [Nick Clooney, workedAt, WGR-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WGR-TV
Context triple: [Nick Clooney, workedAt, WGR-TV]
  • A. WGR-TV chosen
    WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
  • B. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
  • C. WWOR-TV
    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.
  • D. WCBS-TV
    WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
  • E. WNYE-TV
    WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4b023c8190b92df4015c14c3a8 completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794d605481908b5e430c3142c203 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.