Triple

T2188586
Position Surface form Disambiguated ID Type / Status
Subject Bertelsmann E49808 entity
Predicate hasDivision P35 FINISHED
Object RTL Group E242297 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: RTL Group | Statement: [Bertelsmann, hasDivision, RTL Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTL Group
Context triple: [Bertelsmann, hasDivision, RTL Group]
  • A. RTL Group chosen
    RTL Group is a leading European entertainment company and broadcaster, operating numerous television channels, radio stations, and digital platforms 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. ACP Group
    The ACP Group is an intergovernmental organization of African, Caribbean, and Pacific states that primarily collaborates with the European Union on development cooperation and trade.
  • D. Sorgente Group
    Sorgente Group is an international real estate investment and management company known for owning landmark historic properties.
  • E. Penguin Group
    Penguin Group was a major British publishing company renowned for its influential paperback editions and literary classics before its merger into Penguin Random House.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf373c608190b7716c137b3e9fe9 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af40330819094b3b9d74a63b602 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:45 p.m.