Triple
T30052478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porcelain Black |
E763638
|
entity |
| Predicate | hasImageStyle |
P140071
|
FINISHED |
| Object | gothic 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: gothic fashion | Statement: [Porcelain Black, hasImageStyle, gothic fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImageStyle Context triple: [Porcelain Black, hasImageStyle, gothic fashion]
-
A.
imageStyle
chosen
Indicates the stylistic characteristics or visual aesthetic applied to an image, such as its artistic style, mood, or design approach.
-
B.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
C.
hasImageRole
Indicates that an image is associated with an entity in a specific functional or contextual role (e.g., thumbnail, icon, illustration).
-
D.
hasImageFeature
Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
-
E.
hasImageType
Indicates that an entity is associated with an image of a particular type or format.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 6:55 p.m.