Triple
T13209466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domenichino |
E314448
|
entity |
| Predicate | studentOf |
P48
|
FINISHED |
| Object | Denis Calvaert |
E567783
|
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: Denis Calvaert | Statement: [Domenichino, studentOf, Denis Calvaert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denis Calvaert Context triple: [Domenichino, studentOf, Denis Calvaert]
-
A.
Denis Calvaert
chosen
Denis Calvaert was a Flemish-born Mannerist painter active mainly in Bologna, known for his refined religious works and for training prominent Baroque artists such as Guido Reni.
-
B.
Bart De Wever
Bart De Wever is a prominent Belgian politician known as a leading figure of Flemish nationalism and a key power broker in contemporary Belgian politics.
-
C.
Cédric Van Styvendael
Cédric Van Styvendael is a French politician who serves as the mayor of the city of Villeurbanne, near Lyon.
-
D.
André de Meulemeester
André de Meulemeester was a distinguished Belgian World War I flying ace renowned for his combat achievements and contributions to early military aviation.
-
E.
Ben Weyts
Ben Weyts is a Belgian politician from Flanders who has served in prominent roles within the Flemish government, particularly in areas such as education and mobility.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f611b11c8190b9f89313eb2b5fab |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.