Triple
T14083733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Buren |
E338934
|
entity |
| Predicate | notableHolder |
P1918
|
FINISHED |
| Object | Anna van Egmond |
E65518
|
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: Anna van Egmond | Statement: [Countess of Buren, notableHolder, Anna van Egmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna van Egmond Context triple: [Countess of Buren, notableHolder, Anna van Egmond]
-
A.
Anna van Egmond
chosen
Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
-
B.
Anna van Gelder
Anna van Gelder was the wife of famed Dutch admiral Michiel de Ruyter and a member of the Dutch bourgeoisie in the 17th century.
-
C.
Anna van den Corput
Anna van den Corput was a 17th-century Dutch woman best known as the mother of prominent Grand Pensionary and statesman Johan de Witt.
-
D.
Johanna de Jongh
Johanna de Jongh was the wife of Dutch Golden Age painter Jan Asselijn, about whom little is historically documented beyond her marital connection to the artist.
-
E.
Maria van den Boogaard
Maria van den Boogaard was the wife of Dutch politician and former Prime Minister Louis Beel.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d027450819098f4f9be71451ec5 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 10:21 p.m.