Triple
T11941661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodachrome |
E284192
|
entity |
| Predicate | colorProcessType |
P21943
|
FINISHED |
| Object | subtractive color |
—
|
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: subtractive color | Statement: [Kodachrome, colorProcessType, subtractive color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorProcessType Context triple: [Kodachrome, colorProcessType, subtractive color]
-
A.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
B.
hasColorProcess
chosen
Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its color.
-
C.
colorTreatment
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
D.
colorComponent
Indicates that one entity is a component or constituent part of the overall color of another entity.
-
E.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.