Triple
T17939130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hemanta |
E448541
|
entity |
| Predicate | hasTraditionalColorSymbolismInSomeTexts |
P46606
|
FINISHED |
| Object | whitish or pale hues |
—
|
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: whitish or pale hues | Statement: [Hemanta, hasTraditionalColorSymbolismInSomeTexts, whitish or pale hues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalColorSymbolismInSomeTexts Context triple: [Hemanta, hasTraditionalColorSymbolismInSomeTexts, whitish or pale hues]
-
A.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
B.
hasTraditionalSignificanceAs
Indicates that something holds recognized traditional importance or meaning in the role or capacity specified by the related entity.
-
C.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
-
D.
primaryColorSymbolism
Indicates how a primary color is symbolically associated with particular meanings, emotions, or concepts in a given context.
-
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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9455fc81908bf595f9ed42c624 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.