Triple
T15771340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remai Modern |
E382367
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | KPMB Architects |
E132273
|
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: KPMB Architects | Statement: [Remai Modern, architect, KPMB Architects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPMB Architects Context triple: [Remai Modern, architect, KPMB Architects]
-
A.
KPMB Architects
chosen
KPMB Architects is a prominent Canadian architecture firm known for its innovative cultural, institutional, and urban design projects.
-
B.
HKS Architects
HKS Architects is a global architecture firm known for designing large-scale commercial, mixed-use, and hospitality projects.
-
C.
MNK Architects
MNK Architects is an architectural firm recognized for its role in designing major projects such as Southwest University Park.
-
D.
JDS Architects
JDS Architects is an international architecture and design firm known for innovative, sculptural projects such as the redevelopment of Oslo’s Holmenkollen ski arena.
-
E.
Kallmann McKinnell & Wood Architects
Kallmann McKinnell & Wood Architects is an American architectural firm known for its modernist and institutional designs, including prominent cultural and civic buildings.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051962fe08190a6201dd48196a9ee |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877c5ae88190aeb500bb5f0d73f7 |
completed | May 9, 2026, 7:14 p.m. |
Created at: April 10, 2026, 4:47 a.m.