Triple
T20230530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban Stars (East) |
E495507
|
entity |
| Predicate | uniformColorTheme |
P46850
|
FINISHED |
| Object | dark uniforms |
—
|
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: dark uniforms | Statement: [Cuban Stars (East), uniformColorTheme, dark uniforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniformColorTheme Context triple: [Cuban Stars (East), uniformColorTheme, dark uniforms]
-
A.
uniformAccentColor
Indicates that multiple elements share the same accent color, creating a consistent visual highlight across them.
-
B.
themeChange
Indicates that an entity undergoes a change in its theme, style, or subject, typically transitioning from one thematic state or configuration to another.
-
C.
uniformStyle
chosen
Indicates that the related entities share the same or a consistent style, pattern, or formatting.
-
D.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
E.
graphicsTheme
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdce9d081909752a6a1e15283ba |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.