Triple
T20425035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andries Both |
E500974
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Jan Both |
—
|
NE NERFINISHED |
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 Both | Statement: [Andries Both, sibling, Jan Both]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Both Context triple: [Andries Both, sibling, Jan Both]
-
A.
Jan Both
chosen
Jan Both was a Dutch Golden Age landscape painter known for his Italianate scenes bathed in warm, atmospheric light.
-
B.
Lange Niezel
Lange Niezel is a narrow historic street in central Amsterdam’s Red Light District, known for its mix of tourist shops, bars, and traditional Dutch architecture.
-
C.
Johannes Bosboom
Johannes Bosboom was a 19th-century Dutch painter renowned for his atmospheric church interiors and contributions to The Hague School.
-
D.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
E.
Jan Heemskerk
Jan Heemskerk was a 19th-century Dutch liberal politician who served multiple terms as Prime Minister of the Netherlands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba7afa4819095c9b75fab3cbbfc |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.