Triple
T17749064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ju Dou |
E443065
|
entity |
| Predicate | colorDesign |
P100027
|
FINISHED |
| Object | symbolic use of color in cinematography |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: symbolic use of color in cinematography | Statement: [Ju Dou, colorDesign, symbolic use of color in cinematography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorDesign Context triple: [Ju Dou, colorDesign, symbolic use of color in cinematography]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
colorDesignationInName
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
C.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
D.
colorIndicates
chosen
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
-
E.
shadeColor
Indicates that one entity has a specific shade or variation of color associated with it.
- F. None of above.
Provenance (3 batches)
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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad46a50819089c87f74efe3c7ca |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.