Triple
T22111058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalit literature |
E546418
|
entity |
| Predicate | hasNotableAuthor |
P4244
|
FINISHED |
| Object | Sharan Kumar Limbale |
—
|
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: Sharan Kumar Limbale | Statement: [Dalit literature, hasNotableAuthor, Sharan Kumar Limbale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharan Kumar Limbale Context triple: [Dalit literature, hasNotableAuthor, Sharan Kumar Limbale]
-
A.
Upendra Limaye
Upendra Limaye is an Indian actor known for his powerful character roles in Marathi and Hindi cinema, often in gritty, realistic films.
-
B.
Shafi Inamdar
Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
-
C.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
D.
Sharankumar Limbale
chosen
Sharankumar Limbale is a prominent Indian Dalit writer, critic, and theorist known for his influential works on Dalit literature and caste oppression.
-
E.
Shri Kulkarni
Shri Kulkarni is an astrophysicist known for pioneering work in pulsar astronomy and the discovery of the first millisecond pulsar.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:30 p.m.