Triple
T34703413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Experience |
E1000435
|
entity |
| Predicate | visualDesignGoal |
P156798
|
FINISHED |
| Object | modernized alternative to TouchWiz |
—
|
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: modernized alternative to TouchWiz | Statement: [Samsung Experience, visualDesignGoal, modernized alternative to TouchWiz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualDesignGoal Context triple: [Samsung Experience, visualDesignGoal, modernized alternative to TouchWiz]
-
A.
overallDesignGoal
Indicates that one entity specifies or represents the primary design objective or guiding design intent for another entity.
-
B.
visualAppeal
Indicates that one entity finds another entity aesthetically pleasing or visually attractive.
-
C.
designAspect
Indicates that one entity represents a particular design-related feature, characteristic, or consideration of another entity.
-
D.
designTarget
chosen
Indicates that one entity is the intended goal, objective, or focus that another entity is being designed or developed to address or achieve.
-
E.
visualDesignInspiredBy
Indicates that the visual design of one entity is influenced, modeled, or derived from the visual style or appearance 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.