Triple

T2506793
Position Surface form Disambiguated ID Type / Status
Subject Food Network E52602 entity
Predicate hasSisterChannel P6991 FINISHED
Object Food Network Canada
Food Network Canada is a Canadian specialty television channel dedicated to food-related programming, including cooking shows, culinary competitions, and restaurant-focused series.
 E52602 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: Food Network Canada | Statement: [Food Network, hasSisterChannel, Food Network Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Food Network Canada
Context triple: [Food Network, hasSisterChannel, Food Network Canada]
  • A. Food Network
    Food Network is a cable television channel dedicated to food, cooking, and culinary lifestyle programming.
  • B. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
  • C. Citytv
    Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
  • D. Bell Media
    Bell Media is a major Canadian multimedia company that operates numerous television channels, radio stations, and digital platforms across the country.
  • E. CBC
    CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
  • 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: Food Network Canada
Triple: [Food Network, hasSisterChannel, Food Network Canada]
Generated description
Food Network Canada is a Canadian specialty television channel dedicated to food-related programming, including cooking shows, culinary competitions, and restaurant-focused series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Food Network Canada
Target entity description: Food Network Canada is a Canadian specialty television channel dedicated to food-related programming, including cooking shows, culinary competitions, and restaurant-focused series.
  • A. Food Network chosen
    Food Network is a cable television channel dedicated to food, cooking, and culinary lifestyle programming.
  • B. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
  • C. Citytv
    Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
  • D. Bell Media
    Bell Media is a major Canadian multimedia company that operates numerous television channels, radio stations, and digital platforms across the country.
  • E. CBC
    CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
  • F. None of above.

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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cfeb408190ba8107296310dbfc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa7dbb88190815087416b207b54 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.