Triple
T6288626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthonie van Slingelandt |
E140959
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | van Slingelandt |
E140959
|
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: van Slingelandt | Statement: [Anthonie van Slingelandt, familyName, van Slingelandt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: van Slingelandt Context triple: [Anthonie van Slingelandt, familyName, van Slingelandt]
-
A.
van Slingelandt
chosen
Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
-
B.
van Wijnbergen
Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
-
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.
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.
-
E.
Willem de Vlugt
Willem de Vlugt was a Dutch politician who served as the mayor of Amsterdam during the late 1920s and early 1930s.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064182f60819093a8313e1dbf2763 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e418a9e4819083f446b05175e904 |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.