Triple
T4789861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisville Cardinals |
E106574
|
entity |
| Predicate | secondaryColors |
P36992
|
FINISHED |
| Object | 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: white | Statement: [Louisville Cardinals, secondaryColors, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryColors Context triple: [Louisville Cardinals, secondaryColors, white]
-
A.
secondaryColour
chosen
Indicates that one entity serves as a secondary or accent color in relation to another entity’s primary color.
-
B.
secondaryBranchColor
Indicates the color assigned to a secondary or subordinate branch in relation to a primary branch.
-
C.
secondaryPigment
Indicates that one pigment functions as a secondary or supporting color relative to another primary pigment in a given context.
-
D.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
E.
secondaryTone
Indicates that one tone functions as a secondary or supporting tonal element in relation to a primary tone within a given context.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65dce6888190a0b1bdf416fb62b9 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.