Triple
T21349166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrick van Balen |
E526426
|
entity |
| Predicate | student |
P7251
|
FINISHED |
| Object | Frans Snyders |
—
|
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: Frans Snyders | Statement: [Hendrick van Balen, student, Frans Snyders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frans Snyders Context triple: [Hendrick van Balen, student, Frans Snyders]
-
A.
Frans Snyders
chosen
Frans Snyders was a prominent Flemish Baroque painter renowned for his dynamic still lifes, animal scenes, and hunting compositions, often collaborating with leading artists of his time.
-
B.
Pieter Snyers
Pieter Snyers was a Flemish Baroque painter known for his still lifes and genre scenes in 17th-century Antwerp.
-
C.
Godfried Maes
Godfried Maes was a Flemish Baroque painter and draughtsman known for his religious and mythological scenes, active in Antwerp in the late 17th century.
-
D.
Jan Snyders
Jan Snyders is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Snyders.
-
E.
Theo Francken
Theo Francken is a Belgian politician known for his hardline stance on immigration and prominent role within the New Flemish Alliance (N-VA).
- 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.