Triple
T32655468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful is Relentless |
E834848
|
entity |
| Predicate | brandValueExpressed |
P142823
|
FINISHED |
| Object | design excellence |
—
|
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: design excellence | Statement: [Beautiful is Relentless, brandValueExpressed, design excellence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandValueExpressed Context triple: [Beautiful is Relentless, brandValueExpressed, design excellence]
-
A.
brandScale
Indicates the extent or level of a brand’s size, reach, or influence within its market or context.
-
B.
brandPosition
Indicates the relative market or perceptual placement of a brand compared to competitors or within a defined category.
-
C.
brandLevel
Indicates the hierarchical rank or tier of a brand within a defined brand structure or classification system.
-
D.
brandIdentityReflects
chosen
Indicates that the characteristics, messaging, and visual elements of a brand accurately mirror or express a particular set of values, personality, or positioning.
-
E.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:08 a.m.