Triple
T2373496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence Sejnowski |
E46141
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | member of the American Academy of Arts and Sciences |
C11475
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: member of the American Academy of Arts and Sciences Context triple: [Terrence Sejnowski, instanceOf, member of the American Academy of Arts and Sciences]
-
A.
member of the Académie française
A member of the Académie française is an elected intellectual or literary figure who holds one of forty lifetime seats in France’s preeminent council responsible for overseeing and preserving the French language.
-
B.
Royal Academician
A Royal Academician is a distinguished artist elected as a full member of a royal academy of arts, recognized for significant contributions to their field and participation in the institution’s governance and activities.
-
C.
Fellow of the Royal Society
A Fellow of the Royal Society is a scientist elected by the Royal Society of London in recognition of substantial contributions to the improvement of natural knowledge, including mathematics, engineering science, and medical science.
-
D.
Harvard University professor
A Harvard University professor is a faculty member who teaches, conducts research, and contributes to the academic community at Harvard University, often recognized as a leading expert in their field.
-
E.
Nobel Prize laureate
A Nobel Prize laureate is an individual or organization formally awarded a Nobel Prize in recognition of outstanding contributions to humanity in fields such as physics, chemistry, medicine, literature, peace, or economic sciences.
- F. None of above. chosen
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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
Created at: March 4, 2026, 7:56 p.m.