Triple

T11691000
Position Surface form Disambiguated ID Type / Status
Subject Saint Josephine Bakhita E277866 entity
Predicate hasTitle P38 FINISHED
Object Virgin E751036 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 | Statement: [Saint Josephine Bakhita, hasTitle, Virgin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin
Context triple: [Saint Josephine Bakhita, hasTitle, Virgin]
  • A. Virgin
    Virgin is a multinational venture capital and conglomerate brand founded by Richard Branson, best known for its diverse businesses in sectors such as travel, telecommunications, music, and health.
  • B. Virgin chosen
    Virgin is a revered honorific title in Christian tradition signifying a woman’s perpetual chastity and spiritual purity, often associated with saints and the Virgin Mary.
  • C. VIRGIN
    VIRGIN is the distinctive radio callsign used by Virgin Atlantic Airways for its commercial flight operations.
  • D. Virgin Vision
    Virgin Vision was a home video distribution company associated with Virgin Group that released films and other media on VHS and related formats.
  • E. Verve
    Verve was an influential French art and literary magazine renowned for its richly illustrated issues featuring works by leading modern artists and writers.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47a3ddc819098e208611148d15b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1451b4708190be9aa0439aface7a completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.