Triple

T6839126
Position Surface form Disambiguated ID Type / Status
Subject Ben Mulroney E157524 entity
Predicate employer P7 FINISHED
Object CTV E184110 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: CTV | Statement: [Ben Mulroney, employer, CTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTV
Context triple: [Ben Mulroney, employer, CTV]
  • A. CTV chosen
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
  • B. CTV
    CTV, short for Corpo Truppe Volontarie, was the Italian volunteer expeditionary force sent by Mussolini to support Francisco Franco’s Nationalists during the Spanish Civil War.
  • C. CTV2
    CTV2 is a Canadian English-language television network owned by Bell Media that serves as a secondary system to the main CTV network, offering a mix of entertainment, news, and local programming.
  • D. CTV: The Comedy Network
    CTV: The Comedy Network was the original name of the Canadian specialty television channel that later became known as Comedy Central in Canada, focusing on comedy programming and stand-up specials.
  • E. Citytv
    Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67ee1c88190b82a9b6b3d1e3875 completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c724047c048190b1cf6901f1577e01 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:19 p.m.