Triple
T8706041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Sisley |
E206651
|
entity |
| Predicate | lightTreatment |
P42109
|
FINISHED |
| Object | soft diffused light |
—
|
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: soft diffused light | Statement: [Alfred Sisley, lightTreatment, soft diffused light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightTreatment Context triple: [Alfred Sisley, lightTreatment, soft diffused light]
-
A.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
B.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
C.
illuminationCondition
chosen
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
D.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
-
E.
lightSourceFor
Indicates that one entity serves as the source of illumination 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fcac748190a82b57aeb7c43df9 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.