Triple
T29999034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Front Row |
E762109
|
entity |
| Predicate | interfaceColorScheme |
P29272
|
FINISHED |
| Object | dark theme |
—
|
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 theme | Statement: [Front Row, interfaceColorScheme, dark theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interfaceColorScheme Context triple: [Front Row, interfaceColorScheme, dark theme]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
themeColorOf
Indicates that one entity is the designated or primary color associated with another entity (such as an object, interface, or brand).
-
C.
iconColor
Indicates the color attribute assigned to an icon in a user interface or graphical context.
-
D.
shapeTheme
Indicates a relationship where one entity’s form, outline, or geometric characteristics serve as a central motif or organizing principle for another entity.
-
E.
formerColorScheme
Indicates that an entity previously used a particular color scheme but no longer does so.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 6:40 p.m.