Triple
T17237005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haarlem school |
E418388
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Pieter Saenredam |
—
|
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: Pieter Saenredam | Statement: [Haarlem school, hasNotableMember, Pieter Saenredam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pieter Saenredam Context triple: [Haarlem school, hasNotableMember, Pieter Saenredam]
-
A.
Pieter Saenredam
chosen
Pieter Saenredam was a Dutch Golden Age painter renowned for his meticulously rendered, light-filled church interiors and architectural scenes.
-
B.
Jan Saenredam
Jan Saenredam was a Dutch Golden Age engraver and cartographer known for his detailed prints and contributions to early mapmaking.
-
C.
Emanuel de Witte
Emanuel de Witte was a Dutch Golden Age painter renowned for his atmospheric church interiors and masterful use of light and perspective.
-
D.
Balthasar van der Ast
Balthasar van der Ast was a Dutch Golden Age painter renowned for his detailed still lifes featuring flowers, shells, and insects.
-
E.
Cornelis van Poelenburgh
Cornelis van Poelenburgh was a Dutch Golden Age painter known for his small, finely detailed Italianate landscapes and mythological scenes.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfbc6e88190a3dd7930fd1681ac |
completed | April 19, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:39 a.m.