Triple
T10646862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Witt |
E250857
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
De Withte
De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
|
E878189
|
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 Withte | Statement: [De Witt, hasVariant, De Withte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Withte Context triple: [De Witt, hasVariant, De Withte]
-
A.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
-
B.
De Kwakel
De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
-
C.
De Wilp
De Wilp is a village in the Dutch province of Groningen, known for its rural character and location near the border with Friesland.
-
D.
The Black
The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
-
E.
Le Blanc
Le Blanc is a small French town in the Indre department, known for its picturesque setting on the Creuse River and its role as a local administrative and commercial center.
- 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 Withte Triple: [De Witt, hasVariant, De Withte]
Generated description
De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Withte Target entity description: De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
-
A.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
-
B.
De Kwakel
De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
-
C.
De Wilp
De Wilp is a village in the Dutch province of Groningen, known for its rural character and location near the border with Friesland.
-
D.
The Black
The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
-
E.
Le Blanc
Le Blanc is a small French town in the Indre department, known for its picturesque setting on the Creuse River and its role as a local administrative and commercial center.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe1cd6081909df9e4dc0fda1f0b |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a580d388190aea5edadd4afc0d1 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.