Triple
T16004108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenty family |
E388167
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Fenty (brand) |
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 (brand) | Statement: [Fenty family, associatedWith, Fenty (brand)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fenty (brand) Context triple: [Fenty family, associatedWith, Fenty (brand)]
-
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.
Tom Ford Beauty
Tom Ford Beauty is a luxury cosmetics and fragrance brand known for its high-end makeup, skincare, and signature scents created under the Tom Ford fashion label.
-
D.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
E.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
- 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_69ffcf20c5348190b42c2e01e8ef5ea8 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.