Triple

T20611411
Position Surface form Disambiguated ID Type / Status
Subject Bonnier family E506456 entity
Predicate controls P760 FINISHED
Object Bonnier Group NE NERFINISHED

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: Bonnier Group | Statement: [Bonnier family, controls, Bonnier Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnier Group
Context triple: [Bonnier family, controls, Bonnier Group]
  • A. Bonnier Group chosen
    Bonnier Group is a major Swedish family-owned media conglomerate with interests in publishing, broadcasting, and digital media across multiple countries.
  • B. Egmont Group
    Egmont Group is an international network of national financial intelligence units that collaborate to combat money laundering, terrorist financing, and other financial crimes.
  • C. Egmont Group
    Egmont Group is a Danish media conglomerate and charitable foundation that operates in publishing, film, television, and digital entertainment across multiple countries.
  • D. Sanoma
    Sanoma is a major Finnish media and learning company known for its newspapers, magazines, digital media, and educational publishing across Europe.
  • E. Holtzbrinck Publishing Group
    Holtzbrinck Publishing Group is a German-based global media and publishing conglomerate known for its ownership of major book and academic publishers, newspapers, and digital information companies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad81bdc8190aa6f6164f406a468 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.