Triple
T21029421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kether |
E518025
|
entity |
| Predicate | colorYetzirah |
P142542
|
FINISHED |
| Object | brilliant white |
—
|
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: brilliant white | Statement: [Kether, colorYetzirah, brilliant white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorYetzirah Context triple: [Kether, colorYetzirah, brilliant white]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
sacredColor
Indicates that a particular color is regarded as holy, revered, or religiously significant in relation to an entity or context.
-
C.
colorInIconography
Indicates that a particular color is used to represent or symbolize an entity within a specific iconographic or symbolic tradition.
-
D.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
E.
cereColor
Indicates that one entity specifies or denotes the color of another entity’s cere (the fleshy area above a bird’s beak).
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:55 p.m.