Triple
T7544878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodewijk Napoleon |
E178375
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lodewijk |
E281737
|
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: Lodewijk | Statement: [Lodewijk Napoleon, givenName, Lodewijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodewijk Context triple: [Lodewijk Napoleon, givenName, Lodewijk]
-
A.
Lodewijk
chosen
Lodewijk is the Dutch given name equivalent to Ludwig, historically borne by several notable figures including Dutch nobles and artists.
-
B.
Lodewijk van Heiden
Lodewijk van Heiden was a Dutch-born admiral in the Imperial Russian Navy, best known for his key role in the decisive Allied victory at the Battle of Navarino during the Greek War of Independence.
-
C.
Adriaan
Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
-
D.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
E.
Rijk de Gooyer
Rijk de Gooyer was a Dutch actor and comedian known for his prolific film and television career in the Netherlands and occasional international roles.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.