Triple
T22217575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriana Medina |
E549115
|
entity |
| Predicate | associatedWithBrandType |
P67912
|
FINISHED |
| Object | luxury brands |
—
|
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 brands | Statement: [Adriana Medina, associatedWithBrandType, luxury brands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBrandType Context triple: [Adriana Medina, associatedWithBrandType, luxury brands]
-
A.
componentTypeAssociatedWithBrand
Indicates that a specific component type is linked or affiliated with a particular brand.
-
B.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
-
C.
brandAssociationType
Indicates the specific nature of the relationship or association that exists between a brand and another entity (such as a product, organization, or campaign).
-
D.
hasBrandType
chosen
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
E.
associatedWithBrandValues
Indicates that one entity is connected or aligned with the brand values, principles, or identity represented by another entity.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8ddb448190a45f0418d813afd0 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.