Triple
T16324980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederica Louise Wilhelmina of Orange-Nassau |
E396387
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wilhelmina |
E347442
|
NE FINISHED |
How this triple was built (2 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: Wilhelmina | Statement: [Frederica Louise Wilhelmina of Orange-Nassau, givenName, Wilhelmina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilhelmina Context triple: [Frederica Louise Wilhelmina of Orange-Nassau, givenName, Wilhelmina]
-
A.
Wilhelmina
chosen
Wilhelmina was a Prussian princess of the House of Hohenzollern who became Princess of Orange through marriage and played a significant political role in the Dutch Republic in the late 18th century.
-
B.
Wilhelmina
Wilhelmina is the given name of Lady Catherine Lucy Wilhelmina Stanhope, a 19th-century British aristocrat and political hostess.
-
C.
Wilhelmina
Wilhelmina is a feminine given name of Germanic origin historically borne by European royalty and nobility.
-
D.
Luise
Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
-
E.
Wilhelmina Behmenburg
Wilhelmina Behmenburg, better known as Wilhelmina Cooper, was a prominent Dutch-born fashion model and influential modeling agency founder in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b9dcb88190beb0ca2206729175 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.