Triple
T15240048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Cézanne in a Blue Dress |
E364230
|
entity |
| Predicate | hasDominantColor |
P80914
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Madame Cézanne in a Blue Dress, hasDominantColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDominantColor Context triple: [Madame Cézanne in a Blue Dress, hasDominantColor, blue]
-
A.
hasColorDominanceInCostume
chosen
Indicates that a particular color is the most prominent or visually dominant element in an entity’s costume.
-
B.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
C.
hasApparentColor
Indicates that an entity is perceived to have a particular color under given viewing or observational conditions.
-
D.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
E.
containsColor
Indicates that one entity includes or exhibits the color specified by 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.