Triple
T6279884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Voice of Holland |
E140753
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object |
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.
|
E583104
|
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: Wendy van Dijk | Statement: [The Voice of Holland, presenter, Wendy van Dijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy van Dijk Context triple: [The Voice of Holland, presenter, Wendy van Dijk]
-
A.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
B.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
C.
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.
-
D.
Sandra Roelofs
Sandra Roelofs is a Dutch-born public figure and former First Lady of Georgia known for her humanitarian work and involvement in Georgian social and health initiatives.
-
E.
Barbara Smits
Barbara Smits was the former wife of Emmy-winning American actor Jimmy Smits and the mother of his two children.
- 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: Wendy van Dijk Triple: [The Voice of Holland, presenter, Wendy van Dijk]
Generated description
Wendy van Dijk is a Dutch television presenter and actress best known for hosting popular entertainment shows and playing comedic characters on Dutch TV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wendy van Dijk Target entity description: Wendy van Dijk is a Dutch television presenter and actress best known for hosting popular entertainment shows and playing comedic characters on Dutch TV.
-
A.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
B.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
C.
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.
-
D.
Sandra Roelofs
Sandra Roelofs is a Dutch-born public figure and former First Lady of Georgia known for her humanitarian work and involvement in Georgian social and health initiatives.
-
E.
Barbara Smits
Barbara Smits was the former wife of Emmy-winning American actor Jimmy Smits and the mother of his two children.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ddb3a4819083455f6da854f8a9 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5195bcbb88190a8ff5958b5f89b4b |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c52cc711d48190bfcc6ab993b0eb31 |
completed | March 26, 2026, 12:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5931a61208190b7681d16c07ab90c |
completed | March 26, 2026, 8:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.