Triple
T7293906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan van der Does |
E164466
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jan van der Does |
E164466
|
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: Jan van der Does | Statement: [Jan van der Does, name, Jan van der Does]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan van der Does Context triple: [Jan van der Does, name, Jan van der Does]
-
A.
Jan van der Does
chosen
Jan van der Does was a Dutch nobleman, poet, and military leader best known for organizing and leading the defense of Leiden during the Eighty Years' War.
-
B.
Willem Drost
Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
-
C.
Jan van der Vliet
Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
-
D.
Joost de Blank
Joost de Blank was a 20th-century Anglican clergyman known for his outspoken opposition to apartheid while serving as Archbishop of Cape Town.
-
E.
Gerard Moerdijk
Gerard Moerdijk was a prominent South African architect best known for designing monumental public buildings that celebrated Afrikaner heritage.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e543c22c8190acf8dcffd9c59520 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.