Triple
T839417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michiel de Ruyter |
E18142
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
|
E103464
|
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: Maayke Velders | Statement: [Michiel de Ruyter, spouse, Maayke Velders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maayke Velders Context triple: [Michiel de Ruyter, spouse, Maayke Velders]
-
A.
Iris Steensma
Iris Steensma is the troubled teenage prostitute character from Martin Scorsese’s 1976 film "Taxi Driver," whose role became iconic through Jodie Foster’s acclaimed performance.
-
B.
Simone Buitendijk
Simone Buitendijk is a Dutch academic leader and scholar in higher education policy who has served as vice-chancellor of the University of Leeds.
-
C.
Bianca Hoogendijk
Bianca Hoogendijk is a Dutch woman best known as the wife of former Prime Minister of the Netherlands Jan Peter Balkenende.
-
D.
Sjoukje Ozinga
Sjoukje Ozinga was the mother of Saskia van Uylenburgh, the Dutch woman best known as the wife and muse of painter Rembrandt van Rijn.
-
E.
Annik Penders
Annik Penders is a Belgian communications professional best known as the wife of Belgian Prime Minister Alexander De Croo.
- 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: Maayke Velders Triple: [Michiel de Ruyter, spouse, Maayke Velders]
Generated description
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maayke Velders Target entity description: Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
A.
Iris Steensma
Iris Steensma is the troubled teenage prostitute character from Martin Scorsese’s 1976 film "Taxi Driver," whose role became iconic through Jodie Foster’s acclaimed performance.
-
B.
Simone Buitendijk
Simone Buitendijk is a Dutch academic leader and scholar in higher education policy who has served as vice-chancellor of the University of Leeds.
-
C.
Bianca Hoogendijk
Bianca Hoogendijk is a Dutch woman best known as the wife of former Prime Minister of the Netherlands Jan Peter Balkenende.
-
D.
Sjoukje Ozinga
Sjoukje Ozinga was the mother of Saskia van Uylenburgh, the Dutch woman best known as the wife and muse of painter Rembrandt van Rijn.
-
E.
Annik Penders
Annik Penders is a Belgian communications professional best known as the wife of Belgian Prime Minister Alexander De Croo.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe4ab1081909207ae2eec1898d9 |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84547508190b82c2012f4342529 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7ba424e28819088afe533fe3f1703 |
completed | March 4, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba9f9be481909a30ef09721f3504 |
completed | March 4, 2026, 4:52 a.m. |
Created at: March 1, 2026, 7:38 p.m.