Triple
T10076868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Wright |
E213786
|
entity |
| Predicate | worksAt |
P7
|
FINISHED |
| Object | WKK Architects |
E839314
|
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: WKK Architects | Statement: [Tom Wright, worksAt, WKK Architects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WKK Architects Context triple: [Tom Wright, worksAt, WKK Architects]
-
A.
WKK Architects
chosen
WKK Architects is an architectural firm co-founded by Tom Wright, known for innovative and high-profile contemporary building designs.
-
B.
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.
-
C.
TAK Architects
TAK Architects is an architectural firm known for designing large-scale, high-profile projects such as the Meydan Racecourse in Dubai.
-
D.
Bora Architects
Bora Architects is a Portland-based architecture firm known for designing innovative cultural, educational, and civic spaces such as the Mesa Arts Center.
-
E.
Kengo Kuma and Associates
Kengo Kuma and Associates is a renowned Japanese architectural firm led by Kengo Kuma, celebrated for its innovative, nature-integrated designs and extensive use of traditional materials like wood.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd02f47e08190bfeb641b202beecc |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b649b7488190ad765d4ee6eac5d7 |
completed | April 5, 2026, 7:21 p.m. |
Created at: March 30, 2026, 8:59 p.m.