Triple
T34858487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Dreams Met |
E1004792
|
entity |
| Predicate | hasProductionTechniqueContext |
—
|
GENERATED |
| Object | Technicolor cinematography |
—
|
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: hasProductionTechniqueContext Context triple: [Two Dreams Met, hasProductionTechniqueContext, Technicolor cinematography]
-
A.
hasProductionMethod
Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified by another entity.
-
B.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
C.
hasProductionAspect
Indicates that something possesses or involves a particular aspect, feature, or characteristic related to its production process or creation.
-
D.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
E.
hasProductionElements
Indicates that something includes or is associated with specific components, materials, or elements used in its production or creation.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.