Triple

T3783154
Position Surface form Disambiguated ID Type / Status
Subject Fenty E85465 entity
Predicate associatedWith P37 FINISHED
Object Fenty (fashion house) E85465 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: Fenty (fashion house) | Statement: [Fenty, associatedWith, Fenty (fashion house)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenty (fashion house)
Context triple: [Fenty, associatedWith, Fenty (fashion house)]
  • A. Fenty chosen
    Fenty is the surname of global music and fashion icon Rihanna, which she also uses as the brand name for her beauty and fashion ventures.
  • B. Fenty family
    The Fenty family is the Barbadian family of global music and fashion icon Rihanna, around which her personal and business brand "Fenty" is built.
  • C. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • D. Vivienne
    Vivienne is the given first name of Patti Scialfa, the American singer-songwriter and member of Bruce Springsteen's E Street Band.
  • E. Vivienne
    Vivienne was a British writer and socialite best known as the first wife of poet T. S. Eliot and a central, troubled figure in his life and work.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3db11108190aa81ee8ed22709fe completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb19229c8190a6f0ee4ae7f52dab completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:13 p.m.