Triple
T15842991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giedo van der Garde |
E384141
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Denise van der Garde
Denise van der Garde is known as the wife of Dutch racing driver Giedo van der Garde and is a public figure occasionally seen in the international motorsport scene.
|
E1180648
|
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: Denise van der Garde | Statement: [Giedo van der Garde, spouse, Denise van der Garde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise van der Garde Context triple: [Giedo van der Garde, spouse, Denise van der Garde]
-
A.
Maria van den Boogaard
Maria van den Boogaard was the wife of Dutch politician and former Prime Minister Louis Beel.
-
B.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
C.
Barbara Smits
Barbara Smits was the former wife of Emmy-winning American actor Jimmy Smits and the mother of his two children.
-
D.
Lida Scholten
Lida Scholten is a Dutch art patron and co-founder of the Museum Beelden aan Zee in The Hague, known for her support of modern and contemporary sculpture.
-
E.
Angela Groothuizen
Angela Groothuizen is a Dutch singer, television presenter, and talent show judge known for her long career in music and Dutch TV entertainment.
- 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: Denise van der Garde Triple: [Giedo van der Garde, spouse, Denise van der Garde]
Generated description
Denise van der Garde is known as the wife of Dutch racing driver Giedo van der Garde and is a public figure occasionally seen in the international motorsport scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denise van der Garde Target entity description: Denise van der Garde is known as the wife of Dutch racing driver Giedo van der Garde and is a public figure occasionally seen in the international motorsport scene.
-
A.
Maria van den Boogaard
Maria van den Boogaard was the wife of Dutch politician and former Prime Minister Louis Beel.
-
B.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
C.
Barbara Smits
Barbara Smits was the former wife of Emmy-winning American actor Jimmy Smits and the mother of his two children.
-
D.
Lida Scholten
Lida Scholten is a Dutch art patron and co-founder of the Museum Beelden aan Zee in The Hague, known for her support of modern and contemporary sculpture.
-
E.
Angela Groothuizen
Angela Groothuizen is a Dutch singer, television presenter, and talent show judge known for her long career in music and Dutch TV entertainment.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13eab4881908794104508ba53af |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa527af048190b1f87d85e50bf254 |
completed | May 9, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5df00e481909e203e78940395ed |
completed | May 9, 2026, 9:23 p.m. |
Created at: April 10, 2026, 4:50 a.m.