Triple
T12836988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Winde |
E306942
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Winde
Winde is a surname most notably associated with Alan Winde, a South African politician and Premier of the Western Cape.
|
E1003728
|
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: Winde | Statement: [Alan Winde, familyName, Winde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winde Context triple: [Alan Winde, familyName, Winde]
-
A.
Geiselwind
Geiselwind is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural setting and proximity to major transport routes like the A3 motorway.
-
B.
Wiehe
Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
-
C.
Reynst
Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
-
D.
Wiske
Wiske is a small river in North Yorkshire, England, known as one of the tributaries feeding into the River Swale.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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: Winde Triple: [Alan Winde, familyName, Winde]
Generated description
Winde is a surname most notably associated with Alan Winde, a South African politician and Premier of the Western Cape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winde Target entity description: Winde is a surname most notably associated with Alan Winde, a South African politician and Premier of the Western Cape.
-
A.
Geiselwind
Geiselwind is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural setting and proximity to major transport routes like the A3 motorway.
-
B.
Wiehe
Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
-
C.
Reynst
Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
-
D.
Wiske
Wiske is a small river in North Yorkshire, England, known as one of the tributaries feeding into the River Swale.
-
E.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff015f4819090070a01f3938acc |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edd30e881909062e8f91f614990 |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f68f8d2ca08190a385635fb6130a9f |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f690353d848190bc1ff9546d2ec44f |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:35 p.m.