Triple
T22975527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple iMac launch advertising |
E571305
|
entity |
| Predicate | emphasizedFeature |
P65476
|
FINISHED |
| Object | colorful translucent design |
—
|
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: colorful translucent design | Statement: [Apple iMac launch advertising, emphasizedFeature, colorful translucent design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizedFeature Context triple: [Apple iMac launch advertising, emphasizedFeature, colorful translucent design]
-
A.
focusFeature
Indicates that one entity is the primary or emphasized feature, aspect, or attribute being highlighted or concentrated on in relation to another.
-
B.
keyFeature
Indicates that something is a primary, distinguishing, or most important feature of an entity.
-
C.
designEmphasizes
chosen
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
-
D.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
-
E.
featuredFor
Indicates that one entity is highlighted, promoted, or specially showcased in the context or for the benefit 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18235de508190ab9675d005870ff6 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.