Triple
T29959709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Shoulder |
E761006
|
entity |
| Predicate | typicalNeckline |
—
|
GENERATED |
| Object | round neckline |
—
|
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: typicalNeckline Context triple: [Cold Shoulder, typicalNeckline, round neckline]
-
A.
typicalShoulderLine
Indicates that one entity has a shoulder line that is characteristic or standard for the type, style, or category represented by the other entity.
-
B.
typicalHemlineLength
Indicates the usual or characteristic length of the hemline associated with an item, style, or category of clothing.
-
C.
hasTypicalSleeveStyle
Indicates the usual or characteristic sleeve design associated with an item, such as a garment or uniform.
-
D.
typicalFit
Indicates that one entity is a usual, expected, or characteristic match or correspondence for another in a given context.
-
E.
neckCharacteristic
chosen
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:28 p.m.