Triple
T21349188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrick van Balen |
E526426
|
entity |
| Predicate | student |
P7251
|
FINISHED |
| Object | Jan Fyt |
—
|
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 Fyt | Statement: [Hendrick van Balen, student, Jan Fyt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Fyt Context triple: [Hendrick van Balen, student, Jan Fyt]
-
A.
Jan Fyt
chosen
Jan Fyt was a prominent 17th-century Flemish Baroque painter and etcher, renowned for his detailed still lifes, hunting scenes, and animal paintings.
-
B.
Jan Wils
Jan Wils was a Dutch architect and member of the De Stijl movement, best known for designing the Olympic Stadium in Amsterdam.
-
C.
Jan Wolkers
Jan Wolkers was a prominent Dutch writer, sculptor, and painter known for his raw, confrontational novels and influential role in postwar Dutch literature.
-
D.
Jan Kok
Jan Kok is a Dutch name shared by several notable individuals, including figures in fields such as academia, sports, and the arts.
-
E.
Jan Bavinck
Jan Bavinck was a Dutch Reformed theologian and missiologist known for his influential work on the theology of religions and Christian missions in the 20th century.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baab4e081908916a289c607cf3a |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:02 p.m.