Triple
T8428306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Wolf |
E199055
|
entity |
| Predicate | associatedColorPalette |
P17891
|
FINISHED |
| Object | neon tones in music video |
—
|
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: neon tones in music video | Statement: [She Wolf, associatedColorPalette, neon tones in music video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedColorPalette Context triple: [She Wolf, associatedColorPalette, neon tones in music video]
-
A.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
B.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
usesBrandColor
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
-
E.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.