Triple
T28293986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Wheat Fields, Auvers |
E713506
|
entity |
| Predicate | creator's occupation |
P13413
|
FINISHED |
| Object | painter |
—
|
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: painter | Statement: [Green Wheat Fields, Auvers, creator's occupation, painter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creator's occupation Context triple: [Green Wheat Fields, Auvers, creator's occupation, painter]
-
A.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
B.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
C.
coCreatorOccupation
Indicates that two or more co-creators share the same occupation or professional role in relation to a creation or project.
-
D.
producedOccupation
Indicates that one entity has generated, created, or given rise to another entity’s occupation or professional role.
-
E.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 27, 2026, 11:31 p.m.