Triple

T12841191
Position Surface form Disambiguated ID Type / Status
Subject Donna Hanover E307054 entity
Predicate employer P7 FINISHED
Object WNYW E10947 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: WNYW | Statement: [Donna Hanover, employer, WNYW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WNYW
Context triple: [Donna Hanover, employer, WNYW]
  • A. 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.
  • B. WNYW (New York City) chosen
    WNYW (New York City) is the primary Fox-owned television station serving the New York City metropolitan area.
  • C. WLNY-TV
    WLNY-TV is a New York-area independent television station that operates as a sister outlet to CBS flagship WCBS-TV, airing a mix of syndicated programming and locally focused content.
  • D. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
  • E. WGR-TV
    WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff2ab60819085561a3120189985 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edeaa1881909e06600ef88727de completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.