Triple
T15196249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirck van Baburen |
E363144
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dirck |
E363143
|
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: Dirck | Statement: [Dirck van Baburen, givenName, Dirck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirck Context triple: [Dirck van Baburen, givenName, Dirck]
-
A.
Dirck
chosen
Dirck is a Dutch masculine given name historically borne by several notable figures, including artists of the Dutch Golden Age.
-
B.
Zederik
Zederik was a former municipality in the Dutch province of South Holland that was incorporated into the new municipality of Vijfheerenlanden.
-
C.
Johan Evertsen
Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
-
D.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
E.
Marnix
Marnix is a Dutch masculine given name commonly used in the Netherlands and Belgium.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e82400819087dc782c1f48af39 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:10 a.m.