Triple
T1876362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaag en Braassem |
E39152
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Marina van der Velde-Menting
Marina van der Velde-Menting is a Dutch local politician who serves as the mayor of the municipality of Kaag en Braassem in the Netherlands.
|
E209252
|
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: Marina van der Velde-Menting | Statement: [Kaag en Braassem, hasMayor, Marina van der Velde-Menting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina van der Velde-Menting Context triple: [Kaag en Braassem, hasMayor, Marina van der Velde-Menting]
-
A.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
B.
Ella van Heemstra
Ella van Heemstra was a Dutch baroness and socialite best known as the mother of iconic actress Audrey Hepburn.
-
C.
Annik Penders
Annik Penders is a Belgian communications professional best known as the wife of Belgian Prime Minister Alexander De Croo.
-
D.
Maria Nys
Maria Nys was a Belgian-born woman best known as the first wife of English writer Aldous Huxley and a central figure in his personal and social life.
-
E.
Bianca Hoogendijk
Bianca Hoogendijk is a Dutch woman best known as the wife of former Prime Minister of the Netherlands Jan Peter Balkenende.
- 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: Marina van der Velde-Menting Triple: [Kaag en Braassem, hasMayor, Marina van der Velde-Menting]
Generated description
Marina van der Velde-Menting is a Dutch local politician who serves as the mayor of the municipality of Kaag en Braassem in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marina van der Velde-Menting Target entity description: Marina van der Velde-Menting is a Dutch local politician who serves as the mayor of the municipality of Kaag en Braassem in the Netherlands.
-
A.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
B.
Ella van Heemstra
Ella van Heemstra was a Dutch baroness and socialite best known as the mother of iconic actress Audrey Hepburn.
-
C.
Annik Penders
Annik Penders is a Belgian communications professional best known as the wife of Belgian Prime Minister Alexander De Croo.
-
D.
Maria Nys
Maria Nys was a Belgian-born woman best known as the first wife of English writer Aldous Huxley and a central figure in his personal and social life.
-
E.
Bianca Hoogendijk
Bianca Hoogendijk is a Dutch woman best known as the wife of former Prime Minister of the Netherlands Jan Peter Balkenende.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d902ac8190a2d9bb6f683986e4 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf56e2748190a2044d33d29d8324 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfe46b388190b319043170253701 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade08d0ce0819097beb901dbb39d89 |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.