Triple
T6573163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintoretto |
E155491
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Peter Paul Rubens |
E21144
|
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: Peter Paul Rubens | Statement: [Tintoretto, influenced, Peter Paul Rubens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Paul Rubens Context triple: [Tintoretto, influenced, Peter Paul Rubens]
-
A.
Peter Paul Rubens
chosen
Peter Paul Rubens was a prolific 17th-century Flemish Baroque painter renowned for his dynamic compositions, vibrant color, and dramatic depictions of religious, mythological, and historical subjects.
-
B.
Jan Rubens
Jan Rubens was a 16th-century German lawyer and the father of the Flemish Baroque painter Peter Paul Rubens.
-
C.
Anthony van Dyck
Anthony van Dyck was a Flemish Baroque painter renowned for his elegant and influential portraiture, especially as court painter to King Charles I of England.
-
D.
Ferdinand Bol
Ferdinand Bol was a Dutch Golden Age painter and etcher known for his portraits and history paintings, strongly influenced by his training in Rembrandt’s workshop.
-
E.
Frans Hals
Frans Hals was a prominent Dutch Golden Age painter renowned for his lively, expressive portraiture and innovative brushwork.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae6faa3c81908f1777d616cece46 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53b861c81908adc984a3067d4ef |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:53 p.m.