Triple
T10004428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behati Prinsloo |
E198206
|
entity |
| Predicate | hasModeledForBrand |
P17880
|
FINISHED |
| Object | Nine West |
E539231
|
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: Nine West | Statement: [Behati Prinsloo, hasModeledForBrand, Nine West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nine West Context triple: [Behati Prinsloo, hasModeledForBrand, Nine West]
-
A.
Nine West
chosen
Nine West is a popular American fashion brand best known for its stylish and affordable women's shoes, handbags, and accessories.
-
B.
Kate Spade
Kate Spade was an American fashion designer and businesswoman best known for her colorful, playful handbags and for founding the Kate Spade New York brand.
-
C.
The Jimmy Choos
"The Jimmy Choos" is a pop song by American indie pop band Chester French, known for its catchy, polished sound and fashion-referencing lyrics.
-
D.
Tory Burch
Tory Burch is an American fashion designer and businesswoman known for her eponymous lifestyle brand featuring preppy-bohemian clothing, accessories, and footwear.
-
E.
New York & Company
New York & Company is an American specialty retailer known for offering women's fashion apparel and accessories, particularly career and casual wear, through mall-based stores and online channels.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd141ec08190b857fe7e15a8df93 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a5058a08190b850d30ca0ee8bc8 |
completed | April 5, 2026, 1:57 p.m. |
Created at: March 30, 2026, 8:51 p.m.