Triple
T11748918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavender Mist |
E279354
|
entity |
| Predicate | paintApplicationMethod |
P101135
|
FINISHED |
| Object | dripping |
—
|
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: dripping | Statement: [Lavender Mist, paintApplicationMethod, dripping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintApplicationMethod Context triple: [Lavender Mist, paintApplicationMethod, dripping]
-
A.
isPainted
Indicates that one entity has applied paint to cover or decorate the surface of another entity.
-
B.
paintsImageOf
Indicates that one entity creates a visual artwork depicting or representing another entity.
-
C.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
-
D.
paintingSurface
Indicates that one entity serves as the physical surface or material on which another entity is painted or depicted.
-
E.
paintedOn
Indicates that one entity has been applied as paint onto the surface of another entity.
- F. None of above. chosen
Provenance (4 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a508b0c4819082fbcc27d559ea2f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.