Triple
T35152950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Théodore de Sommervieux |
E1015041
|
entity |
| Predicate | artisticStatus |
P136270
|
FINISHED |
| Object | celebrated young painter in Paris |
—
|
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: celebrated young painter in Paris | Statement: [Théodore de Sommervieux, artisticStatus, celebrated young painter in Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticStatus Context triple: [Théodore de Sommervieux, artisticStatus, celebrated young painter in Paris]
-
A.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
B.
artisticAmbition
Indicates a desire or drive to create, achieve, or excel in artistic or creative pursuits.
-
C.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
D.
artisticDirection
Indicates that one entity is responsible for guiding and overseeing the creative or aesthetic vision of another entity or project.
-
E.
hasArtisticLevel
chosen
Indicates the degree or quality of artistic skill, sophistication, or creativity associated with an 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cefb12c8190a955da746e14799f |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.