Triple
T21989005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Affleck |
E543035
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | University of British Columbia |
—
|
NE GENERATED |
How this triple was built (1 step)
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of British Columbia Context triple: [Ian Affleck, employer, University of British Columbia]
-
A.
University of British Columbia
chosen
The University of British Columbia is a major public research university in Canada known for its strong academic programs, extensive research output, and globally recognized campuses in Vancouver and the Okanagan.
-
B.
University of Alberta
The University of Alberta is a major Canadian public research university known for its strong programs in science, engineering, and health, and for its significant contributions to innovation and scholarship.
-
C.
University of Calgary
The University of Calgary is a major Canadian public research university in Calgary, Alberta, known for its strong programs in engineering, business, health sciences, and energy-related research.
-
D.
Simon Fraser University
Simon Fraser University is a major Canadian public research university based in British Columbia, known for its innovative programs and campuses in the Metro Vancouver area.
-
E.
University of Victoria
The University of Victoria is a major Canadian public research university located in Victoria, British Columbia, known for its strong programs in ocean science, climate research, engineering, and the humanities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (1 batch)
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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 8:05 p.m.