Triple
T8276319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz Museum |
E193555
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Ben van Berkel |
E398380
|
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: Ben van Berkel | Statement: [Mercedes-Benz Museum, architect, Ben van Berkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben van Berkel Context triple: [Mercedes-Benz Museum, architect, Ben van Berkel]
-
A.
Ben van Berkel
chosen
Ben van Berkel is a Dutch architect and co-founder of the architecture firm UNStudio, known for innovative, fluid, and technologically advanced building designs worldwide.
-
B.
Erik van Egeraat
Erik van Egeraat is a Dutch architect known for his expressive, contemporary designs and influential contributions to European architecture.
-
C.
Jan Verkolje
Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
-
D.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
E.
Jan van der Vliet
Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798d69508190b581ad8a38730175 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6859cbc48190835dffa7de054d15 |
completed | April 1, 2026, 6:47 p.m. |
Created at: March 30, 2026, 5:51 p.m.