Triple

T13806858
Position Surface form Disambiguated ID Type / Status
Subject Ici Radio-Canada Télé E331781 entity
Predicate flagshipNewsProgram P5271 FINISHED
Object Le Téléjournal
Le Téléjournal is the main national television newscast produced and broadcast by the Canadian French-language network Ici Radio-Canada Télé.
 E1061943 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: Le Téléjournal | Statement: [Ici Radio-Canada Télé, flagshipNewsProgram, Le Téléjournal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Téléjournal
Context triple: [Ici Radio-Canada Télé, flagshipNewsProgram, Le Téléjournal]
  • A. La Presse
    La Presse is a prominent French-language newspaper historically known for serializing major literary works and influencing public opinion in France.
  • B. France-Soir
    France-Soir is a French daily newspaper that became one of the country’s most widely read popular papers in the mid-20th century.
  • C. Le Matin
    Le Matin is a prominent French daily newspaper that was especially influential in the late 19th and early 20th centuries.
  • D. La Presse (serial)
    La Presse is a periodical publication known for issuing works such as "Queen Margot."
  • E. Le Monde
    Le Monde is a leading French daily newspaper known for its in-depth political, cultural, and international reporting.
  • 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: Le Téléjournal
Triple: [Ici Radio-Canada Télé, flagshipNewsProgram, Le Téléjournal]
Generated description
Le Téléjournal is the main national television newscast produced and broadcast by the Canadian French-language network Ici Radio-Canada Télé.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Téléjournal
Target entity description: Le Téléjournal is the main national television newscast produced and broadcast by the Canadian French-language network Ici Radio-Canada Télé.
  • A. La Presse
    La Presse is a prominent French-language newspaper historically known for serializing major literary works and influencing public opinion in France.
  • B. France-Soir
    France-Soir is a French daily newspaper that became one of the country’s most widely read popular papers in the mid-20th century.
  • C. Le Matin
    Le Matin is a prominent French daily newspaper that was especially influential in the late 19th and early 20th centuries.
  • D. La Presse (serial)
    La Presse is a periodical publication known for issuing works such as "Queen Margot."
  • E. Le Monde
    Le Monde is a leading French daily newspaper known for its in-depth political, cultural, and international reporting.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026d98108190acf366a36d97bf92 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08db39c8190a76637b36b77d643 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b18bbe688190855a26b8f2b4bcc0 completed May 3, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7b260fc6c8190a573cc525388878e completed May 3, 2026, 8:38 p.m.
Created at: April 9, 2026, 10:12 p.m.