Triple
T3349356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahitian Women on the Beach |
E70451
|
entity |
| Predicate | usesColorAs |
P46606
|
FINISHED |
| Object | expressive element |
—
|
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: expressive element | Statement: [Tahitian Women on the Beach, usesColorAs, expressive element]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColorAs Context triple: [Tahitian Women on the Beach, usesColorAs, expressive element]
-
A.
usedUniformColor
Indicates that multiple entities share or employed the same uniform color in a given context.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
D.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
E.
colorHasMeaning
chosen
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21f3ae48190a33530712da01bc3 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.