Triple
T22561430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Ganesh Gadkari |
E557824
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | राम गणेश गडकरी |
—
|
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: राम गणेश गडकरी | Statement: [Ram Ganesh Gadkari, nativeName, राम गणेश गडकरी]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: राम गणेश गडकरी Context triple: [Ram Ganesh Gadkari, nativeName, राम गणेश गडकरी]
-
A.
Sunil Barve
Sunil Barve is an Indian actor and producer known for his work in Marathi theatre, television, and films.
-
B.
Anant Chaturvedi
Anant Chaturvedi is an Indian cinematographer known for his work on Bollywood films, including the comedy "Apna Sapna Money Money."
-
C.
Shripad Naik
Shripad Naik is an Indian politician and long-serving Member of Parliament from Goa who has held multiple ministerial roles in the central government.
-
D.
Ram Ganesh Gadkari
chosen
Ram Ganesh Gadkari was a prominent early 20th-century Marathi writer, poet, and dramatist known for his influential plays and contributions to modern Marathi literature.
-
E.
Kadva Patel
Kadva Patel is a sub-group of the broader Patel community, traditionally associated with agrarian roots and strong social cohesion in western India.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa5f4008190921095b7aff4f4e2 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.