Triple
T14850953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Large Blue Horses |
E349224
|
entity |
| Predicate | usesColorSymbolism |
P115163
|
FINISHED |
| Object | spiritual use of 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: spiritual use of blue | Statement: [The Large Blue Horses, usesColorSymbolism, spiritual use of blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColorSymbolism Context triple: [The Large Blue Horses, usesColorSymbolism, spiritual use of blue]
-
A.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
B.
primaryColorSymbolism
chosen
Indicates how a primary color is symbolically associated with particular meanings, emotions, or concepts in a given context.
-
C.
symbolismIn
Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
-
D.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
-
E.
symbolismFocus
Indicates that the primary emphasis of a work, element, or representation is on its symbolic meaning rather than its literal or functional aspects.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.