Triple

T14015908
Position Surface form Disambiguated ID Type / Status
Subject Canal+ E337201 entity
Predicate hasSubsidiaryBrand P25079 FINISHED
Object Canal+ Sport E337201 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: Canal+ Sport | Statement: [Canal+, hasSubsidiaryBrand, Canal+ Sport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canal+ Sport
Context triple: [Canal+, hasSubsidiaryBrand, Canal+ Sport]
  • A. Canal+ chosen
    Canal+ is a major French premium television channel and media company known for its original programming, films, and sports broadcasting.
  • B. Eurosport 2
    Eurosport 2 is a European sports television channel offering additional and niche sports coverage as a sister network to the main Eurosport channel.
  • C. Eurosport
    Eurosport is a pan-European sports television network and streaming platform known for broadcasting a wide range of international sporting events, including major tournaments and Olympic Games.
  • D. beIN Sports
    beIN Sports is an international sports television network known for broadcasting major football (soccer) leagues and other global sporting events across multiple regions.
  • E. Réseau des sports
    Réseau des sports is a Canadian French-language specialty television channel focused on broadcasting sports events and related 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacac12608190a5e3d970ec3cda45 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.