Triple
T22076952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arvind Panagariya |
E545546
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Indian-American economist |
C45768
|
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: Indian-American economist Context triple: [Arvind Panagariya, instanceOf, Indian-American economist]
-
A.
Indian philanthropist
An Indian philanthropist is an individual from India who voluntarily donates money, resources, or time to support social, educational, cultural, or humanitarian causes for the public good.
-
B.
Greek-born British economist
A Greek-born British economist is an individual originally from Greece who has acquired British nationality and contributes to the field of economics through research, teaching, or policy work in the United Kingdom.
-
C.
Belizean economist
A Belizean economist is a professional from Belize who studies, analyzes, and advises on the production, distribution, and consumption of goods and services within Belize’s economy and in its interactions with the global economic system.
-
D.
American statistician
An American statistician is a professional from the United States who specializes in designing studies, collecting and analyzing data, and applying statistical methods to draw conclusions and inform decisions across various fields.
-
E.
Indian academic
An Indian academic is a scholar or educator from India engaged in teaching, research, and knowledge dissemination within higher education or research institutions, often contributing to both national and international academic discourse.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 16, 2026, 8:28 p.m.