Triple
T14671822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieter Symonsz Potter |
E344529
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Aechtie Pouwels |
E344529
|
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: Aechtie Pouwels | Statement: [Pieter Symonsz Potter, spouse, Aechtie Pouwels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aechtie Pouwels Context triple: [Pieter Symonsz Potter, spouse, Aechtie Pouwels]
-
A.
Aechtie Pouwels
chosen
Aechtie Pouwels was the mother of the renowned Dutch Golden Age painter Paulus Potter.
-
B.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
C.
Catherine De Bolle
Catherine De Bolle is a Belgian police official and former Commissioner General of the Belgian Federal Police who serves as the Executive Director of Europol.
-
D.
Jan Asselijn
Jan Asselijn was a 17th-century Dutch Golden Age painter known for his landscapes and animal scenes, including the famous political allegory "The Threatened Swan."
-
E.
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.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07c7fa88190bb09f2f444d69786 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:27 a.m.