Triple
T9082403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallén |
E217664
|
entity |
| Predicate | isComponentOf |
P5722
|
FINISHED |
| Object | Gallen-Kallela |
E41668
|
NE 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: Gallen-Kallela | Statement: [Gallén, isComponentOf, Gallen-Kallela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gallen-Kallela Context triple: [Gallén, isComponentOf, Gallen-Kallela]
-
A.
Akseli Gallen-Kallela
chosen
Akseli Gallen-Kallela was a renowned Finnish painter and designer best known for his national romantic works and illustrations of the Kalevala.
-
B.
Ainola
Ainola is the lakeside home and museum of Finnish composer Jean Sibelius, preserved as a cultural landmark in Järvenpää, Finland.
-
C.
Aulenti
Aulenti is an Italian surname most notably associated with Gae Aulenti, a renowned architect and designer known for her influential museum and exhibition spaces.
-
D.
Vallotton
Vallotton is a Swiss surname most notably associated with Félix Vallotton, a post-Impressionist painter and printmaker linked to the Nabis movement.
-
E.
Eckersberg
Eckersberg is a Norwegian surname most notably associated with 19th-century painter Johan Fredrik Eckersberg, known for his landscape art.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960a2760819084aab611eb1c43a9 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe30093481908b3ec394cf585642 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.