Triple
T37486938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Ghillied Up |
E931556
|
entity |
| Predicate | visualStyleElement |
P29429
|
FINISHED |
| Object | desaturated, irradiated environment |
—
|
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: desaturated, irradiated environment | Statement: [All Ghillied Up, visualStyleElement, desaturated, irradiated environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualStyleElement Context triple: [All Ghillied Up, visualStyleElement, desaturated, irradiated environment]
-
A.
featuresStyleElement
Indicates that one entity includes or incorporates a particular style-related element as part of its composition or design.
-
B.
visualizationStyle
Indicates how an entity is visually represented or styled in a visualization or graphical context.
-
C.
visualElements
chosen
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
D.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
E.
symbolicStyle
Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.