Triple
T19055668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willy Kuijpers |
E466387
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kuijpers
Kuijpers is a Dutch-language surname commonly found in the Netherlands and Belgium, often associated with families of Flemish or Dutch origin.
|
E1355903
|
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: Kuijpers | Statement: [Willy Kuijpers, familyName, Kuijpers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuijpers Context triple: [Willy Kuijpers, familyName, Kuijpers]
-
A.
Kneuterdijk
Kneuterdijk is a historic street in the center of The Hague, Netherlands, known for its prominent governmental and royal buildings.
-
B.
Grijpskerke
Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
C.
Kesteren
Kesteren is a village in the Dutch province of Gelderland, situated along the Nederrijn river in the central Netherlands.
-
D.
Voskuijl
Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- 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: Kuijpers Triple: [Willy Kuijpers, familyName, Kuijpers]
Generated description
Kuijpers is a Dutch-language surname commonly found in the Netherlands and Belgium, often associated with families of Flemish or Dutch origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuijpers Target entity description: Kuijpers is a Dutch-language surname commonly found in the Netherlands and Belgium, often associated with families of Flemish or Dutch origin.
-
A.
Kneuterdijk
Kneuterdijk is a historic street in the center of The Hague, Netherlands, known for its prominent governmental and royal buildings.
-
B.
Grijpskerke
Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
C.
Kesteren
Kesteren is a village in the Dutch province of Gelderland, situated along the Nederrijn river in the central Netherlands.
-
D.
Voskuijl
Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
-
E.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc056b708190a2b84cbddf0fc2d9 |
completed | April 20, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c5596cac8190bd83e77f5997644f |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c98f2fd08190b5b64567c7425c17 |
completed | May 14, 2026, 1:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c9ed55f48190ab6352a49cae48da |
completed | May 14, 2026, 1:11 p.m. |
Created at: April 10, 2026, 12:03 p.m.