Triple
T21095430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriaen van de Velde |
E519752
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Paulus Potter |
—
|
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: Paulus Potter | Statement: [Adriaen van de Velde, influencedBy, Paulus Potter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paulus Potter Context triple: [Adriaen van de Velde, influencedBy, Paulus Potter]
-
A.
Paulus Potter
chosen
Paulus Potter was a renowned 17th-century Dutch Golden Age painter celebrated for his detailed and lifelike depictions of animals and rural landscapes.
-
B.
Peter De Potter
Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
-
C.
Mark Potter
Mark Potter is the guitarist for the English alternative rock band Elbow.
-
D.
Paulus Hook
Paulus Hook is a historic waterfront neighborhood in Jersey City, New Jersey, known for its Revolutionary War significance and views of the Manhattan skyline.
-
E.
Daniel Potter
Daniel Potter is known as the son of American actress Monica Potter.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.