Triple
T2909941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starry Night Over the Rhône |
E63656
|
entity |
| Predicate | creator 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: [Starry Night Over the Rhône, creator occupation, painter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creator occupation Context triple: [Starry Night Over the Rhône, creator occupation, painter]
-
A.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
B.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
C.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
D.
creatorField
Indicates that one entity is recorded as the creator or originator of another entity within a specific field or context.
-
E.
majorWorkCreator
Indicates that the subject is the primary creator or author responsible for the major work represented by the object.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0e899808190a348e1e71116d0a5 |
completed | March 7, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.