Triple

T3156992
Position Surface form Disambiguated ID Type / Status
Subject Ici Radio-Canada Première E66007 entity
Predicate formerName P65 FINISHED
Object Première Chaîne
Première Chaîne was the former name of Radio-Canada’s main French-language talk and news radio network in Canada.
 E10963 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: Première Chaîne | Statement: [Ici Radio-Canada Première, formerName, Première Chaîne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Première Chaîne
Context triple: [Ici Radio-Canada Première, formerName, Première Chaîne]
  • A. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
  • B. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • C. CBC
    CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
  • D. Réseau de l’État
    Réseau de l’État was a major French state-owned railway network that operated in western France before being integrated into the national railway company SNCF.
  • E. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • 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: Première Chaîne
Triple: [Ici Radio-Canada Première, formerName, Première Chaîne]
Generated description
Première Chaîne was the former name of Radio-Canada’s main French-language talk and news radio network in Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Première Chaîne
Target entity description: Première Chaîne was the former name of Radio-Canada’s main French-language talk and news radio network in Canada.
  • A. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
  • B. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • C. CBC chosen
    CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
  • D. Réseau de l’État
    Réseau de l’État was a major French state-owned railway network that operated in western France before being integrated into the national railway company SNCF.
  • E. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5eafa4c8190a65cc1312823144c completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b225068444819080e2b8b6b1260613 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b22574e7c881908e9645f0869d95a8 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225f0e0b0819096f8b5f7e7ddd8c3 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.