Triple
T22094430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aakrosh |
E545988
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Mohan Agashe |
—
|
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: Mohan Agashe | Statement: [Aakrosh, stars, Mohan Agashe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohan Agashe Context triple: [Aakrosh, stars, Mohan Agashe]
-
A.
Mohan Agashe
chosen
Mohan Agashe is an Indian actor and psychiatrist known for his acclaimed performances in parallel cinema and mainstream Hindi and Marathi films.
-
B.
Achyut Potdar
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
-
C.
Sushilkumar Shinde
Sushilkumar Shinde is an Indian politician from the Indian National Congress who has served as Chief Minister of Maharashtra and as the Union Home Minister of India.
-
D.
Ramesh Tawadkar
Ramesh Tawadkar is an Indian politician from Goa who serves as the Speaker of the Goa Legislative Assembly and is associated with the Bharatiya Janata Party (BJP).
-
E.
Narayan Rane
Narayan Rane is an Indian politician and former Chief Minister of Maharashtra who has served in various state and national government roles.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.