Triple
T11282310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decora fashion |
E267092
|
entity |
| Predicate | relatedAesthetic |
P61130
|
FINISHED |
| Object | maximalism in fashion |
—
|
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: maximalism in fashion | Statement: [Decora fashion, relatedAesthetic, maximalism in fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedAesthetic Context triple: [Decora fashion, relatedAesthetic, maximalism in fashion]
-
A.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
-
B.
inspiredByOrRelatedTo
chosen
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
C.
relatedDecoration
Indicates that one decoration is associated with, complements, or is contextually linked to another decoration.
-
D.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
E.
cultAspect
Indicates that one entity represents a specific aspect, facet, or manifestation of a cult associated with 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e96e15708190b3a1cccfbbe65882 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.