Triple
T38088846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Wife’s Relations |
E951053
|
entity |
| Predicate | featuresMiseEnScene |
—
|
GENERATED |
| Object | rough-and-tumble family household |
—
|
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: featuresMiseEnScene Context triple: [My Wife’s Relations, featuresMiseEnScene, rough-and-tumble family household]
-
A.
filmSetting
Indicates the place, time, or environment in which the events of a film are set or take place.
-
B.
filmSceneType
Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
-
C.
cinematographyIncludes
chosen
Indicates that a cinematographic work or process contains or makes use of specific visual techniques, elements, or components as part of its overall execution.
-
D.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
E.
filmicFunction
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.