Triple
T2522840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipanema Gisele Bündchen sandals |
E55562
|
entity |
| Predicate | associatedBrandCategory |
P39625
|
FINISHED |
| Object | Brazilian footwear 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: Brazilian footwear brands | Statement: [Ipanema Gisele Bündchen sandals, associatedBrandCategory, Brazilian footwear brands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBrandCategory Context triple: [Ipanema Gisele Bündchen sandals, associatedBrandCategory, Brazilian footwear brands]
-
A.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
B.
distributedBrand
Indicates that one entity serves as a distributor or reseller for the brand of another entity.
-
C.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
D.
hasUnderlyingCompanyBrand
Indicates that one entity is associated with or operates under the corporate brand of another company as its underlying brand.
-
E.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
- F. None of above. chosen
Provenance (4 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23a0a548190b44393e0f823f7a9 |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1487e0c8190b90dcf30586ad4cd |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:46 p.m.