Triple
T16216530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Shuttleworth |
E393607
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Make Architects |
E1201363
|
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: Make Architects | Statement: [Ken Shuttleworth, employer, Make Architects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Architects Context triple: [Ken Shuttleworth, employer, Make Architects]
-
A.
Make Architects
chosen
Make Architects is a British architecture practice known for its innovative, sustainable building designs and high-profile urban projects worldwide.
-
B.
MNK Architects
MNK Architects is an architectural firm recognized for its role in designing major projects such as Southwest University Park.
-
C.
Arkitema Architects
Arkitema Architects is a Scandinavian architecture firm known for designing contemporary, context-sensitive buildings and public spaces across Denmark and the Nordic region.
-
D.
Architekton
Architekton is an Arizona-based architecture firm known for contemporary, context-sensitive public and cultural projects.
-
E.
BLT Architects
BLT Architects is an architectural firm known for designing large-scale commercial and civic projects, including major convention centers in the United States.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f660708190b6581ecfe218a15c |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed338f48190a8a7280f7d2b112c |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.