Triple
T22538070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaywant Dalvi |
E557208
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jaywant Dalvi |
—
|
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: Jaywant Dalvi | Statement: [Jaywant Dalvi, name, Jaywant Dalvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaywant Dalvi Context triple: [Jaywant Dalvi, name, Jaywant Dalvi]
-
A.
Jaywant Dalvi
chosen
Jaywant Dalvi was a prominent Marathi playwright and writer known for his socially conscious, character-driven dramas that significantly influenced modern Marathi theatre.
-
B.
Ravindra Mankani
Ravindra Mankani is an Indian actor known for his work in Marathi television and cinema.
-
C.
Sachin Pilgaonkar
Sachin Pilgaonkar is an Indian actor, director, and producer known for his extensive work in Marathi and Hindi cinema and television over several decades.
-
D.
Sunil Lahri
Sunil Lahri is an Indian television actor best known for portraying Lakshman in Ramanand Sagar’s iconic mythological series "Ramayan."
-
E.
Sanjay Manjrekar
Sanjay Manjrekar is a former Indian international cricketer and middle-order batsman who later became a prominent cricket commentator and analyst.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f2f671c8190b7a7d9b6d0d64a9b |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.