Triple
T8938569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Aris |
E212838
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Himalayan studies scholar |
C25347
|
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: Himalayan studies scholar Context triple: [Michael Aris, instanceOf, Himalayan studies scholar]
-
A.
Islamic studies scholar
An Islamic studies scholar is an expert who researches, analyzes, and teaches the beliefs, practices, history, texts, and cultures of Islam within their religious, social, and intellectual contexts.
-
B.
Native American studies scholar
A Native American studies scholar is an academic expert who researches, teaches, and writes about the histories, cultures, languages, politics, and contemporary issues of Indigenous peoples of the Americas, often in collaboration with Native communities and grounded in decolonial and sovereignty-focused perspectives.
-
C.
Indian historian
An Indian historian is a scholar who researches, analyzes, and interprets the history of the Indian subcontinent, using primary and secondary sources to construct narratives and explanations of its past.
-
D.
Persian scholar
A Persian scholar is an erudite individual from the Persian cultural sphere who engages in the study, interpretation, and advancement of knowledge in fields such as literature, philosophy, science, theology, or history.
-
E.
British scholar
A British scholar is an academic or intellectual from the United Kingdom who engages in advanced study, research, and teaching within a specialized field of knowledge.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 6:58 p.m.