Triple

T11835906
Position Surface form Disambiguated ID Type / Status
Subject Littlewoods E281514 entity
Predicate parentOrganization P254 FINISHED
Object The Very Group E950320 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: The Very Group | Statement: [Littlewoods, parentOrganization, The Very Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Very Group
Context triple: [Littlewoods, parentOrganization, The Very Group]
  • A. The Very Group chosen
    The Very Group is a major UK-based digital retail and financial services company best known for operating online retail brands such as Very and Littlewoods.
  • B. Virgin Group
    Virgin Group is a multinational British conglomerate known for its diverse portfolio of businesses spanning sectors such as travel, telecommunications, music, and financial services.
  • 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. 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.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28131f75c8190b379e65d5a258e7b completed April 29, 2026, 10:07 p.m.
Created at: April 8, 2026, 9:43 p.m.