Triple

T13787559
Position Surface form Disambiguated ID Type / Status
Subject KMSP-TV E331302 entity
Predicate branding P1500 FINISHED
Object Fox 9
Fox 9 is a television station brand used by KMSP-TV, the Fox network affiliate serving the Minneapolis–Saint Paul metropolitan area.
E1062410 NE FINISHED

How this triple was built (4 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 9 | Statement: [KMSP-TV, branding, Fox 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox 9
Context triple: [KMSP-TV, branding, Fox 9]
  • A. KYW-TV
    KYW-TV is a CBS-owned-and-operated television station serving the Philadelphia, Pennsylvania market.
  • B. Fox 5
    Fox 5 is the on-air brand of WNYW, the Fox network’s flagship television station serving the New York City metropolitan area.
  • C. WSAW-TV
    WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
  • D. La Fox station
    La Fox station is a commuter rail stop in La Fox, Illinois, served by Metra's Union Pacific West Line.
  • E. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fox 9
Triple: [KMSP-TV, branding, Fox 9]
Generated description
Fox 9 is a television station brand used by KMSP-TV, the Fox network affiliate serving the Minneapolis–Saint Paul metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fox 9
Target entity description: Fox 9 is a television station brand used by KMSP-TV, the Fox network affiliate serving the Minneapolis–Saint Paul metropolitan area.
  • A. KYW-TV
    KYW-TV is a CBS-owned-and-operated television station serving the Philadelphia, Pennsylvania market.
  • B. Fox 5
    Fox 5 is the on-air brand of WNYW, the Fox network’s flagship television station serving the New York City metropolitan area.
  • C. WSAW-TV
    WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
  • D. La Fox station
    La Fox station is a commuter rail stop in La Fox, Illinois, served by Metra's Union Pacific West Line.
  • E. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • F. None of above. chosen

Provenance (5 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0249e4f88190a80316394940627d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07d872c81908f912263d8f7c80d completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b230fb448190bc16a1d8732ff76f completed May 3, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f7b2c55e188190b0ea8fa400ff2dfc completed May 3, 2026, 8:40 p.m.
Created at: April 9, 2026, 10:11 p.m.