Triple
T14580871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William I, Prince of Orange |
E342187
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Willem de Zwijger |
E339159
|
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: Willem de Zwijger | Statement: [William I, Prince of Orange, alsoKnownAs, Willem de Zwijger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willem de Zwijger Context triple: [William I, Prince of Orange, alsoKnownAs, Willem de Zwijger]
-
A.
Willem de Zwijger
chosen
Willem de Zwijger is William the Silent, Prince of Orange, the key leader of the Dutch Revolt against Spanish rule and a founding figure of the Netherlands.
-
B.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
C.
Willem Boy
Willem Boy was a 16th-century Flemish sculptor and architect active in Sweden, known for his work at the royal court of King John III.
-
D.
Willem de Vlugt
Willem de Vlugt was a Dutch politician who served as the mayor of Amsterdam during the late 1920s and early 1930s.
-
E.
Ivan De Witte
Ivan De Witte is a Belgian businessman and football executive best known for leading KAA Gent to major sporting and organizational growth as its long-serving chairman.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb41e71748190a1deacc819dd26d3 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b832b08190965b727baa700403 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.