Triple
T14060415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verhagen |
E338328
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Pieter Verhagen
Pieter Verhagen is a notable individual recognized as a significant bearer of the Verhagen surname.
|
E1096240
|
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: Pieter Verhagen | Statement: [Verhagen, hasNotableBearer, Pieter Verhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pieter Verhagen Context triple: [Verhagen, hasNotableBearer, Pieter Verhagen]
-
A.
Roel van Velzen
Roel van Velzen is a Dutch singer-songwriter, musician, and television personality best known as the frontman of the pop-rock band VanVelzen and as a coach on The Voice of Holland.
-
B.
Sven Groeneveld
Sven Groeneveld is a Dutch professional tennis coach known for working with numerous top-ranked players on the WTA and ATP tours.
-
C.
Dennis van Aarssen
Dennis van Aarssen is a Dutch jazz and pop singer who gained national fame after winning the talent show The Voice of Holland.
-
D.
Evert Verhagen
Evert Verhagen is a Dutch epidemiologist and researcher known for his work in sports injury prevention and public health.
-
E.
Gertjan Verbeek
Gertjan Verbeek is a Dutch football manager known for his stints in the Eredivisie, particularly for his work developing teams with an attacking style of play.
- 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: Pieter Verhagen Triple: [Verhagen, hasNotableBearer, Pieter Verhagen]
Generated description
Pieter Verhagen is a notable individual recognized as a significant bearer of the Verhagen surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pieter Verhagen Target entity description: Pieter Verhagen is a notable individual recognized as a significant bearer of the Verhagen surname.
-
A.
Roel van Velzen
Roel van Velzen is a Dutch singer-songwriter, musician, and television personality best known as the frontman of the pop-rock band VanVelzen and as a coach on The Voice of Holland.
-
B.
Sven Groeneveld
Sven Groeneveld is a Dutch professional tennis coach known for working with numerous top-ranked players on the WTA and ATP tours.
-
C.
Dennis van Aarssen
Dennis van Aarssen is a Dutch jazz and pop singer who gained national fame after winning the talent show The Voice of Holland.
-
D.
Evert Verhagen
Evert Verhagen is a Dutch epidemiologist and researcher known for his work in sports injury prevention and public health.
-
E.
Gertjan Verbeek
Gertjan Verbeek is a Dutch football manager known for his stints in the Eredivisie, particularly for his work developing teams with an attacking style of play.
- 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_69fd4c255d8c81908bdac0a28718563e |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd503e7b8c8190bd67e5173c3a36b1 |
completed | May 8, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd50cd88748190904ad67a8a20c48c |
completed | May 8, 2026, 2:56 a.m. |
Created at: April 9, 2026, 10:21 p.m.