Triple
T21481892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansco Color |
E530012
|
entity |
| Predicate | colorStability |
P144525
|
FINISHED |
| Object | less archival than Technicolor dye-transfer prints |
—
|
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: less archival than Technicolor dye-transfer prints | Statement: [Ansco Color, colorStability, less archival than Technicolor dye-transfer prints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorStability Context triple: [Ansco Color, colorStability, less archival than Technicolor dye-transfer prints]
-
A.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
B.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
colorGrade
Indicates the qualitative or categorical assessment of an entity’s color according to a defined grading scale.
-
E.
colorFieldCharacteristic
Indicates that a field or attribute is characterized or distinguished by a specific color.
- F. None of above. chosen
Provenance (4 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:21 p.m.