Triple
T2272853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Witt |
E50699
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
|
E250853
|
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: De Wit | Statement: [De Witt, hasVariant, De Wit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Wit Context triple: [De Witt, hasVariant, De Wit]
-
A.
Verwoerd
Verwoerd is a surname most prominently associated with Hendrik Verwoerd, the South African prime minister widely regarded as the chief architect of apartheid.
-
B.
Greeff
Greeff is a surname of likely Afrikaans or Dutch origin borne by individuals such as Jacoba Elizabeth Greeff.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Jozias van Aartsen
Jozias van Aartsen is a Dutch politician who has held prominent national and local offices, including serving as Minister of Foreign Affairs and Mayor of The Hague.
-
E.
Daniel François Malan
Daniel François Malan was a South African politician and prime minister best known for leading the National Party government that formally instituted apartheid in 1948.
- 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: De Wit Triple: [De Witt, hasVariant, De Wit]
Generated description
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Wit Target entity description: De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
A.
Verwoerd
Verwoerd is a surname most prominently associated with Hendrik Verwoerd, the South African prime minister widely regarded as the chief architect of apartheid.
-
B.
Greeff
Greeff is a surname of likely Afrikaans or Dutch origin borne by individuals such as Jacoba Elizabeth Greeff.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Jozias van Aartsen
Jozias van Aartsen is a Dutch politician who has held prominent national and local offices, including serving as Minister of Foreign Affairs and Mayor of The Hague.
-
E.
Daniel François Malan
Daniel François Malan was a South African politician and prime minister best known for leading the National Party government that formally instituted apartheid in 1948.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1e872448190a1d6c6071b2a294b |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71ddc66c81909525394a8b2bb4e0 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae75ba1a988190ba59d3ce5e5c39a8 |
completed | March 9, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76246f6c81909a15262d2c4ea975 |
completed | March 9, 2026, 7:26 a.m. |
Created at: March 4, 2026, 7:48 p.m.