Triple
T21527004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shivaji Park Gymkhana |
E531121
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Ramesh 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 Powar | Statement: [Shivaji Park Gymkhana, hasNotableAlumni, Ramesh Powar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramesh Powar Context triple: [Shivaji Park Gymkhana, hasNotableAlumni, Ramesh 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.
Rakesh Tondon
Rakesh Tondon is an entrepreneur best known as the co-founder and former CEO of the fashion rental subscription service Le Tote.
-
C.
Mukul Deora
Mukul Deora is an Indian film producer and artist best known for producing the acclaimed Netflix adaptation of Aravind Adiga’s novel "The White Tiger."
-
D.
Raghubir Yadav
Raghubir Yadav is an acclaimed Indian actor and singer known for his versatile performances in film, television, and theatre.
-
E.
Rakesh Bapat
Rakesh Bapat is an Indian film and television actor known for his roles in Hindi movies and popular TV serials.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88522e948190b9fa5a3587f32eae |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.