Triple
T13225022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Letter Writer (attributed) |
E314855
|
entity |
| Predicate | traditionalAttribution |
P7063
|
FINISHED |
| Object | Jan Verkolje |
E80123
|
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: Jan Verkolje | Statement: [The Letter Writer (attributed), traditionalAttribution, Jan Verkolje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Verkolje Context triple: [The Letter Writer (attributed), traditionalAttribution, Jan Verkolje]
-
A.
Jan Verkolje
chosen
Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
-
B.
Jan van der Vliet
Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
-
C.
Willem van der Vliet
Willem van der Vliet was a Dutch Golden Age painter from Delft, known for his portraits and history paintings and as an early mentor to his nephew Hendrick Cornelisz. van Vliet.
-
D.
Dani van Velthoven
Dani van Velthoven is a Dutch singer who gained national fame after winning the popular televised talent competition The Voice of Holland.
-
E.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3128348190836158467e9cfbe2 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1b143388190a6bed8e21105a406 |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 9:19 p.m.