Triple
T2874933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolaas Petrus van Wyk Louw |
E56854
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nicolaas |
E56854
|
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: Nicolaas | Statement: [Nicolaas Petrus van Wyk Louw, givenName, Nicolaas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolaas Context triple: [Nicolaas Petrus van Wyk Louw, givenName, Nicolaas]
-
A.
Nicolaas
chosen
Nicolaas is the given name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
-
B.
Nicolaes
Nicolaes is a Dutch given name historically borne by several notable figures, including 17th-century painters and civic leaders of the Dutch Golden Age.
-
C.
Nicolaas Pierson
Nicolaas Pierson was a Dutch liberal politician and economist who served as Prime Minister of the Netherlands at the turn of the 20th century.
-
D.
Christiaan
Christiaan is a masculine given name of Dutch and Afrikaans origin, commonly used in South Africa and the Netherlands.
-
E.
Anthonie
Anthonie is a Dutch given name historically borne by notable figures such as statesman Anthonie Heinsius.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe004a64481908f1897d9054a7368 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03153b5048190925bfacc07f2db66 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.