Triple
T6582473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landscape with Factory Chimney |
E157329
|
entity |
| Predicate | creatorPrimaryActivity |
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: [Landscape with Factory Chimney, creatorPrimaryActivity, painter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorPrimaryActivity Context triple: [Landscape with Factory Chimney, creatorPrimaryActivity, 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.
creatorField
Indicates that one entity is recorded as the creator or originator of another entity within a specific field or context.
-
D.
creatorOrganizationType
Indicates the type or category of organization that created or is responsible for the entity.
-
E.
creationType
Indicates the manner or process by which something was brought into existence or produced.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:54 p.m.