Triple
T1233784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauritshuis |
E26501
|
entity |
| Predicate | notableArtistInCollection |
P2487
|
FINISHED |
| Object | Paulus Potter |
E68727
|
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: Paulus Potter | Statement: [Mauritshuis, notableArtistInCollection, Paulus Potter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paulus Potter Context triple: [Mauritshuis, notableArtistInCollection, 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.
Robert Paul Smith
Robert Paul Smith was an American author and playwright best known for his humorous novels and plays, including the work that inspired the romantic comedy "The Tender Trap."
-
D.
Howard Potter
Howard Potter was a 19th-century American businessman and philanthropist who played a key role in the cultural life of New York City.
-
E.
Paul Eggert
Paul Eggert is a computer scientist and software developer best known for his long-term stewardship and maintenance of the IANA time zone database and contributions to GNU software.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5d16ec819088056167c88d3318 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93bf346081908a36a25b6616009a |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.