Triple
T16571323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goris van der Heyden |
E402593
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
van der Heyden
Van der Heyden is a Dutch-origin surname associated with various notable individuals in fields such as art, politics, and sports.
|
E1221317
|
NE FINISHED |
How this triple was built (4 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 der Heyden | Statement: [Goris van der Heyden, familyName, van der Heyden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: van der Heyden Context triple: [Goris van der Heyden, familyName, van der Heyden]
-
A.
van Wijnbergen
Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
-
B.
Verhaegen
Verhaegen is a Dutch-language surname of Belgian and Dutch origin, borne by various notable figures in politics, academia, and the arts.
-
C.
van der Leck
Van der Leck is a Dutch surname most notably associated with painter and De Stijl co-founder Bart van der Leck.
-
D.
van Heutsz
Van Heutsz is a Dutch surname most prominently associated with Johannes Benedictus van Heutsz, a colonial military leader and Governor-General of the Dutch East Indies.
-
E.
van der Meer
Van der Meer is a Dutch surname borne by several notable individuals, including Nobel Prize–winning physicist Simon van der Meer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: van der Heyden Triple: [Goris van der Heyden, familyName, van der Heyden]
Generated description
Van der Heyden is a Dutch-origin surname associated with various notable individuals in fields such as art, politics, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: van der Heyden Target entity description: Van der Heyden is a Dutch-origin surname associated with various notable individuals in fields such as art, politics, and sports.
-
A.
van Wijnbergen
Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
-
B.
Verhaegen
Verhaegen is a Dutch-language surname of Belgian and Dutch origin, borne by various notable figures in politics, academia, and the arts.
-
C.
van der Leck
Van der Leck is a Dutch surname most notably associated with painter and De Stijl co-founder Bart van der Leck.
-
D.
van Heutsz
Van Heutsz is a Dutch surname most prominently associated with Johannes Benedictus van Heutsz, a colonial military leader and Governor-General of the Dutch East Indies.
-
E.
van der Meer
Van der Meer is a Dutch surname borne by several notable individuals, including Nobel Prize–winning physicist Simon van der Meer.
- F. None of above. chosen
Provenance (5 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35958d49c8190b995188240fb355b |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee8812c81908ef74636bf39d44a |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a0070024cb4819092ee0ce1320f0905 |
completed | May 10, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00707959a081909fc04947624abbe5 |
completed | May 10, 2026, 11:48 a.m. |
Created at: April 10, 2026, 5:16 a.m.