Triple
T22450051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The North Face |
E554965
|
entity |
| Predicate | brandLogoFeature |
P14764
|
FINISHED |
| Object | Half Dome stylized logo |
—
|
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: Half Dome stylized logo | Statement: [The North Face, brandLogoFeature, Half Dome stylized logo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandLogoFeature Context triple: [The North Face, brandLogoFeature, Half Dome stylized logo]
-
A.
brandImage
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
B.
logoFeature
Indicates that an entity serves as a distinctive visual element or component within a logo.
-
C.
brandingFeature
chosen
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
D.
logoType
Indicates the specific category or style of a logo associated with an entity (e.g., wordmark, symbol, combination mark).
-
E.
logoName
Indicates the textual name or label associated with a logo.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.