Triple

T6279867
Position Surface form Disambiguated ID Type / Status
Subject The Voice of Holland E140753 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 of Holland, developedBy, Talpa Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talpa Media
Context triple: [The Voice of Holland, 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. 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.
  • C. 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.
  • D. Cobalt Media Group
    Cobalt Media Group is a film production company known for its involvement in producing the Western drama movie "Open Range."
  • E. Alma Media
    Alma Media is a Finnish media company that operates newspapers, digital news services, and online marketplaces across Finland and neighboring markets.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ddb3a4819083455f6da854f8a9 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5195bcbb88190a8ff5958b5f89b4b completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.