Triple
T32615361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facial Action Coding System |
E833769
|
entity |
| Predicate | typicalNumberOfActionUnits |
—
|
GENERATED |
| Object | about 30 to 40 |
—
|
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: typicalNumberOfActionUnits Context triple: [Facial Action Coding System, typicalNumberOfActionUnits, about 30 to 40]
-
A.
faceExpression
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
-
B.
numberOfFaces
Indicates the relationship that specifies how many faces a given object or entity has.
-
C.
faceCharacteristics
Indicates a relationship where specific attributes or features are associated with a face or facial appearance.
-
D.
faceValueType
Indicates the type or category of a financial instrument’s face (nominal) value, such as how that value is defined or represented.
-
E.
facialMarkings
Indicates that one entity has distinctive marks, patterns, or features on its face in relation to another entity or context.
- F. None of above. chosen
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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:06 a.m.