Triple
T5339612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Eggs and Ham Cafe |
E123911
|
entity |
| Predicate | brandColorScheme |
P29272
|
FINISHED |
| Object | bright colors |
—
|
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: bright colors | Statement: [Green Eggs and Ham Cafe, brandColorScheme, bright colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandColorScheme Context triple: [Green Eggs and Ham Cafe, brandColorScheme, bright colors]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
corporateColor
Indicates the official color or color scheme that represents a corporation’s brand or identity.
-
C.
formerColorScheme
Indicates that an entity previously used a particular color scheme but no longer does so.
-
D.
officialColor
Indicates the color that is formally designated or recognized as the official one for an entity.
-
E.
liveryColors
Indicates the specific set of colors used as the official or characteristic color scheme associated with an entity (such as a brand, organization, or vehicle).
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.