Triple
T32691824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabal Gurung |
E835878
|
entity |
| Predicate | fashionLabelCategory |
P151294
|
FINISHED |
| Object | luxury womenswear |
—
|
LITERAL 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: luxury womenswear | Statement: [Prabal Gurung, fashionLabelCategory, luxury womenswear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fashionLabelCategory Context triple: [Prabal Gurung, fashionLabelCategory, luxury womenswear]
-
A.
fashionLabel
Indicates that an entity is a fashion brand or label associated with the design, production, or marketing of clothing or accessories.
-
B.
fashionLabelType
chosen
Indicates the specific category or type of fashion label associated with an item or brand.
-
C.
fashionCategory
Indicates the classification of an item into a specific fashion-related category or type (e.g., clothing, footwear, accessories).
-
D.
fashionLabelSpecialty
Indicates that a fashion label is particularly focused on, known for, or specialized in a specific type of product, style, or design niche.
-
E.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
- F. None of above.
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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:10 a.m.