Triple

T3379330
Position Surface form Disambiguated ID Type / Status
Subject Tom Fontana E71142 entity
Predicate employer P7 FINISHED
Object Canal+ 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+ | Statement: [Tom Fontana, employer, Canal+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canal+
Context triple: [Tom Fontana, employer, Canal+]
  • A. Canal+ chosen
    Canal+ is a major French premium television channel and media company known for its original programming, films, and sports broadcasting.
  • B. France Télévisions
    France Télévisions is France’s national public television broadcaster, operating multiple channels and providing a wide range of news, sports, and cultural programming.
  • C. Réseau Outre-Mer 1ère
    Réseau Outre-Mer 1ère was the former name of France Télévisions’ overseas public broadcasting network, now known as La Première, which serves French overseas departments and territories with television and radio programming.
  • D. 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.
  • E. beIN Media Group
    beIN Media Group is a global sports and entertainment media company based in Qatar, best known for its extensive portfolio of television networks and broadcasting rights across multiple regions.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2ec38d88190be8c824daeca5ab6 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344c0698819082d856d8be7f2c18 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:14 p.m.