Triple

T11959800
Position Surface form Disambiguated ID Type / Status
Subject CMP Media E284637 entity
Predicate parentCompany P254 FINISHED
Object UBM plc E421750 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: UBM plc | Statement: [CMP Media, parentCompany, UBM plc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UBM plc
Context triple: [CMP Media, parentCompany, UBM plc]
  • A. Informa plc chosen
    Informa plc is a British multinational publishing, business intelligence, and events company known for owning academic publisher Taylor & Francis and organizing major trade exhibitions and conferences worldwide.
  • B. Egmont Group
    Egmont Group is a Danish media conglomerate and charitable foundation that operates in publishing, film, television, and digital entertainment across multiple countries.
  • C. 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.
  • D. UBM Tech
    UBM Tech was a business-to-business media and information company focused on the technology industry, known for publishing specialized tech publications and running industry events and conferences.
  • E. RTL Group
    RTL Group is a leading European entertainment company and broadcaster, operating numerous television channels, radio stations, and digital platforms across multiple countries.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.