Triple
T34252979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Séraphine Louis |
E878797
|
entity |
| Predicate | preArtOccupation |
P24742
|
FINISHED |
| Object | domestic servant |
—
|
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: domestic servant | Statement: [Séraphine Louis, preArtOccupation, domestic servant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preArtOccupation Context triple: [Séraphine Louis, preArtOccupation, domestic servant]
-
A.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
B.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
-
C.
roleInArtScene
Indicates that an entity holds a particular function, position, or involvement within an artistic or cultural scene.
-
D.
creativeArtist
Indicates that one entity is an artist who creates or originates the work, performance, or creative output associated with another entity.
-
E.
publicArt
Indicates that something is an artwork installed or displayed in a publicly accessible space.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.