Triple
T22777846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Christian Dahl |
E563752
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Johan Christian Dahl |
—
|
NE NERFINISHED |
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: Johan Christian Dahl | Statement: [Johan Christian Dahl, name, Johan Christian Dahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johan Christian Dahl Context triple: [Johan Christian Dahl, name, Johan Christian Dahl]
-
A.
Johan Christian Dahl
chosen
Johan Christian Dahl was a pioneering 19th-century Norwegian Romantic landscape painter, often regarded as the father of Norwegian landscape art.
-
B.
Peder Balke
Peder Balke was a 19th-century Norwegian painter known for his dramatic, atmospheric landscapes of the Nordic coast and wilderness.
-
C.
Johan Fredrik Eckersberg
Johan Fredrik Eckersberg was a 19th-century Norwegian painter known for his landscape and genre scenes and for helping shape the development of Norwegian art.
-
D.
Hans Gude
Hans Gude was a prominent 19th-century Norwegian Romantic landscape painter known for his dramatic depictions of Nordic nature and seascapes.
-
E.
Per Krohg
Per Krohg was a Norwegian painter and muralist best known for his large-scale public works, including the mural in the United Nations Security Council Chamber.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b631c6881908a6687920923dcf4 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.