Triple

T12841194
Position Surface form Disambiguated ID Type / Status
Subject Donna Hanover E307054 entity
Predicate employer P7 FINISHED
Object Fox 5 New York E65847 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: Fox 5 New York | Statement: [Donna Hanover, employer, Fox 5 New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox 5 New York
Context triple: [Donna Hanover, employer, Fox 5 New York]
  • A. Fox 5 chosen
    Fox 5 is the on-air brand of WNYW, the Fox network’s flagship television station serving the New York City metropolitan area.
  • B. NBC 4 New York
    NBC 4 New York is the on-air brand of WNBC, the flagship NBC-owned television station serving the New York City metropolitan area.
  • C. WNYW (New York City)
    WNYW (New York City) is the primary Fox-owned television station serving the New York City metropolitan area.
  • D. WPIX
    WPIX is a New York City television station (channel 11) that serves as the market’s primary affiliate of The CW network.
  • E. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally 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_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.