Triple

T6457244
Position Surface form Disambiguated ID Type / Status
Subject The Voice franchise E142023 entity
Predicate developedBy P73 FINISHED
Object Talpa Media E140756 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: Talpa Media | Statement: [The Voice franchise, developedBy, Talpa Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talpa Media
Context triple: [The Voice franchise, developedBy, Talpa Media]
  • A. Talpa Media chosen
    Talpa Media is a Dutch television production company best known for creating international reality and talent show formats such as "The Voice."
  • B. Talpa Global
    Talpa Global is the international distribution and licensing arm of Talpa Media, responsible for bringing its television formats and content to markets worldwide.
  • C. Talpa Productions
    Talpa Productions is a Dutch television production company best known for creating internationally successful reality and talent show formats.
  • D. PubMatic
    PubMatic is a digital advertising technology company that provides a sell-side platform (SSP) enabling publishers to manage and optimize programmatic ad inventory and revenue.
  • E. Omnilab Media
    Omnilab Media is an Australian film and television production and post-production company involved in financing and producing feature films and other screen content.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d639ec8190bb0a806da4118440 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bdef4a881908f3d7b6eefab7def completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.