Triple
T6288627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthonie van Slingelandt |
E140959
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Anthonie |
E105088
|
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: Anthonie | Statement: [Anthonie van Slingelandt, givenName, Anthonie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthonie Context triple: [Anthonie van Slingelandt, givenName, Anthonie]
-
A.
Anthonie
chosen
Anthonie is a Dutch given name historically borne by notable figures such as statesman Anthonie Heinsius.
-
B.
Adriaan
Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
-
C.
Nicolaas
Nicolaas is the given name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
-
D.
Willem Arondeus
Willem Arondeus was a Dutch artist and openly gay resistance fighter during World War II, best known for his role in the 1943 attack on Amsterdam’s population registry to hinder Nazi persecution of Jews.
-
E.
Goudriaan
Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
- 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_69c519794a9481909a72a8dcdfaf41f8 |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:26 p.m.