Triple
T23596535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harajuku Lovers |
E582633
|
entity |
| Predicate | hasVisualIdentityElement |
P48662
|
FINISHED |
| Object | cartoon characters |
—
|
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: cartoon characters | Statement: [Harajuku Lovers, hasVisualIdentityElement, cartoon characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualIdentityElement Context triple: [Harajuku Lovers, hasVisualIdentityElement, cartoon characters]
-
A.
hasBrandIdentityElement
chosen
Indicates that an entity includes or is associated with a specific component of its overall brand identity (such as a logo, color scheme, or tagline).
-
B.
visualIdentity
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
-
C.
hasSignatureVisualStyle
Indicates that an entity is characterized by a distinctive and recognizable visual style that sets it apart from others.
-
D.
hasInsigniaComponent
Indicates that an entity includes, bears, or is composed of a particular insignia or emblem as one of its components.
-
E.
hasMascotIdentity
Indicates that an entity serves as or possesses the role/identity of a mascot for 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08f9b648190b90d3b2aa49ba85e |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.