Triple
T21979628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramesh Powar |
E542801
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Ramesh Rajaram Powar |
—
|
NE NERFINISHED |
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: Ramesh Rajaram Powar | Statement: [Ramesh Powar, fullName, Ramesh Rajaram Powar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramesh Rajaram Powar Context triple: [Ramesh Powar, fullName, Ramesh Rajaram Powar]
-
A.
Ramesh Powar
chosen
Ramesh Powar is a former Indian cricketer and off-spin bowler who represented India in international cricket and later became a coach.
-
B.
Vijay Patkar
Vijay Patkar is an Indian actor and comedian known for his supporting and character roles in Marathi and Hindi films.
-
C.
Virendra Sharma
Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
-
D.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
-
E.
Jaisingh Jadhav
Jaisingh Jadhav is a fictional character known primarily as the central figure in the story of Kamala.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248bdd88819098bfeca550608f14 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.