Triple

T1432893
Position Surface form Disambiguated ID Type / Status
Subject Virgin Records E30489 entity
Predicate formerOwner P347 FINISHED
Object Virgin Group E39791 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: Virgin Group | Statement: [Virgin Records, formerOwner, Virgin Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Group
Context triple: [Virgin Records, formerOwner, Virgin Group]
  • A. Virgin Group chosen
    Virgin Group is a multinational British conglomerate known for its diverse portfolio of businesses spanning sectors such as travel, telecommunications, music, and financial services.
  • B. Peel Group
    Peel Group is a major British infrastructure, transport, and real estate investment company known for owning and developing assets such as ports, airports, and large-scale property projects across the UK.
  • C. Booker Group
    Booker Group is a British wholesale and retail company best known for its long-standing association with and sponsorship of the prestigious Booker literary prize.
  • D. EMI Group
    EMI Group was a major British music company and record label conglomerate known for its influential role in the global recording industry.
  • E. Fossil Group
    Fossil Group is an American fashion company best known for designing and manufacturing watches and accessories, including a wide range of smartwatches.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4df1e3c819086646b709021d7f0 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b5ba94819092e66e8dfd6bf87d completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.