Triple
T15971506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jens Grede |
E387333
|
entity |
| Predicate | brandTypeOfSKIMS |
P67912
|
FINISHED |
| Object | shapewear brand |
—
|
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: shapewear brand | Statement: [Jens Grede, brandTypeOfSKIMS, shapewear brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandTypeOfSKIMS Context triple: [Jens Grede, brandTypeOfSKIMS, shapewear brand]
-
A.
hasBrandType
chosen
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
B.
hasSkirtType
Indicates that an entity is associated with or characterized by a specific type or style of skirt.
-
C.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
D.
hasBrandConcept
Indicates that an entity is associated with or embodies a particular brand concept or branding idea.
-
E.
surfaceBrand
Indicates that a surface or physical object bears, displays, or is marked with a particular brand or branding.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.