Triple
T8667658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subramaniapuram |
E205715
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | M. Sasikumar |
E770575
|
NE FINISHED |
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: M. Sasikumar | Statement: [Subramaniapuram, producer, M. Sasikumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. Sasikumar Context triple: [Subramaniapuram, producer, M. Sasikumar]
-
A.
M. Sasikumar
chosen
M. Sasikumar is an Indian filmmaker and actor best known for his critically acclaimed Tamil film "Subramaniapuram," which he directed and starred in.
-
B.
K. Balaji
K. Balaji was an Indian film producer and actor known for his work in Tamil cinema and for producing several successful remakes of Hindi films.
-
C.
C. V. Mohan
C. V. Mohan is an Indian film producer best known as a co-founder of the prominent Telugu film production company Mythri Movie Makers.
-
D.
K. K. Venugopal
K. K. Venugopal is a prominent Indian jurist who served as the Attorney General for India and is renowned for his constitutional law expertise and appearances before the Supreme Court.
-
E.
V. T. Vijayan
V. T. Vijayan is an Indian film editor best known for his acclaimed work in Tamil cinema, including the classic crime drama "Nayakan."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd5e548c8190898c01f9b8a27175 |
completed | April 3, 2026, 5:48 p.m. |
Created at: March 30, 2026, 6:31 p.m.