Triple
T14060421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verhagen |
E338328
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Yvonne Verhagen
Yvonne Verhagen is a person notable enough to be recognized as a prominent bearer of the surname Verhagen.
|
E1089520
|
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: Yvonne Verhagen | Statement: [Verhagen, hasNotableBearer, Yvonne Verhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvonne Verhagen Context triple: [Verhagen, hasNotableBearer, Yvonne Verhagen]
-
A.
Catharina (Caro) Verbeek
Catharina (Caro) Verbeek is a Dutch politician who serves as the mayor of the municipality of Bodegraven-Reeuwijk in the Netherlands.
-
B.
Sari van Veenendaal
Sari van Veenendaal is a Dutch professional football goalkeeper renowned for her performances with the Netherlands women’s national team and top European clubs.
-
C.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
D.
Wendy van Dijk
Wendy van Dijk is a Dutch television presenter and actress best known for hosting popular entertainment shows and playing comedic characters on Dutch TV.
-
E.
Lotte Verbeek
Lotte Verbeek is a Dutch actress and model best known internationally for her roles in historical drama series such as The Borgias and Outlander.
- 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: Yvonne Verhagen Triple: [Verhagen, hasNotableBearer, Yvonne Verhagen]
Generated description
Yvonne Verhagen is a person notable enough to be recognized as a prominent bearer of the surname Verhagen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yvonne Verhagen Target entity description: Yvonne Verhagen is a person notable enough to be recognized as a prominent bearer of the surname Verhagen.
-
A.
Catharina (Caro) Verbeek
Catharina (Caro) Verbeek is a Dutch politician who serves as the mayor of the municipality of Bodegraven-Reeuwijk in the Netherlands.
-
B.
Sari van Veenendaal
Sari van Veenendaal is a Dutch professional football goalkeeper renowned for her performances with the Netherlands women’s national team and top European clubs.
-
C.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
D.
Wendy van Dijk
Wendy van Dijk is a Dutch television presenter and actress best known for hosting popular entertainment shows and playing comedic characters on Dutch TV.
-
E.
Lotte Verbeek
Lotte Verbeek is a Dutch actress and model best known internationally for her roles in historical drama series such as The Borgias and Outlander.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5686f51c81908c33143ecbaae83d |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324133f8819088c0d80a4e8fb5be |
completed | May 8, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69fd339f04f48190abd13b7ce459c931 |
completed | May 8, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd341b65e481908cd39e64e52583eb |
completed | May 8, 2026, 12:53 a.m. |
Created at: April 9, 2026, 10:21 p.m.