Triple
T8860700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josephine Skriver |
E210879
|
entity |
| Predicate | hasWorkedForBrand |
P11675
|
FINISHED |
| Object | DKNY |
E460233
|
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: DKNY | Statement: [Josephine Skriver, hasWorkedForBrand, DKNY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DKNY Context triple: [Josephine Skriver, hasWorkedForBrand, DKNY]
-
A.
DKNY
chosen
DKNY is a New York-based fashion brand founded by Donna Karan, known for its contemporary, urban-inspired clothing and accessories.
-
B.
Calvin Klein
Calvin Klein is an American fashion brand renowned for its minimalist aesthetic, iconic underwear and denim lines, and influential advertising campaigns.
-
C.
DKNY (licensed watches)
DKNY (licensed watches) is a line of fashion-forward timepieces produced under license by Fossil Group for the New York–based lifestyle brand DKNY.
-
D.
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.
-
E.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b94f5481909902b5fa405a502f |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.