Triple

T16004105
Position Surface form Disambiguated ID Type / Status
Subject Fenty family E388167 entity
Predicate hasFamilyName P18 FINISHED
Object Fenty 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 | Statement: [Fenty family, hasFamilyName, Fenty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenty
Context triple: [Fenty family, hasFamilyName, Fenty]
  • 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. KC Porter
    KC Porter is a Grammy-winning American record producer, songwriter, and arranger best known for his influential work in Latin pop and crossover music with artists such as Santana, Ricky Martin, and Selena.
  • C. Marchesa
    Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • D. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • E. Marc Jacobs Beauty
    Marc Jacobs Beauty is a cosmetics line associated with fashion designer Marc Jacobs, known for its stylish, high-end makeup products and distinctive packaging.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.