Triple
T37616691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gomesi |
E935942
|
entity |
| Predicate | typicalWearerStatus |
—
|
GENERATED |
| Object | married women |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWearerStatus Context triple: [gomesi, typicalWearerStatus, married women]
-
A.
typicalWear
Indicates that one entity is commonly or characteristically worn by the other in typical situations or contexts.
-
B.
wearerStatus
chosen
Indicates the condition or role of an entity in its capacity as a wearer of something (e.g., clothing, equipment, or an accessory).
-
C.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
D.
typicalFit
Indicates that one entity is a usual, expected, or characteristic match or correspondence for another in a given context.
-
E.
typicallyWornBy
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
- F. None of above.
Provenance (1 batch)
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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.