Triple
T16366927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jozias van Aartsen |
E397459
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | van Aartsen |
E397460
|
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 Aartsen | Statement: [Jozias van Aartsen, familyName, van Aartsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: van Aartsen Context triple: [Jozias van Aartsen, familyName, van Aartsen]
-
A.
van Aartsen
chosen
Van Aartsen is a Dutch surname most prominently associated with Jozias van Aartsen, a notable Dutch politician and former mayor of The Hague.
-
B.
van Amsberg
Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
-
C.
van Wijnbergen
Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
-
D.
van der Meer
Van der Meer is a Dutch surname borne by several notable individuals, including Nobel Prize–winning physicist Simon van der Meer.
-
E.
van den Bergh
Van den Bergh is a Dutch-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3de3d88190a42cd708746c8bd0 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc29f088190ba5d69ff3c12a251 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.