Triple
T13061739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K. Dinesh |
E329213
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | K. Dinesh |
E329213
|
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: K. Dinesh | Statement: [K. Dinesh, name, K. Dinesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K. Dinesh Context triple: [K. Dinesh, name, K. Dinesh]
-
A.
K. Dinesh
chosen
K. Dinesh is an Indian entrepreneur and co-founder of the global IT services and consulting company Infosys.
-
B.
K. Rajesh
K. Rajesh is a researcher known for significant scholarly work on the undeciphered Indus script and the ancient Indus Valley Civilization.
-
C.
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.
-
D.
D. Suresh Babu
D. Suresh Babu is an Indian film producer and prominent figure in the Telugu cinema industry, known for heading Suresh Productions.
-
E.
M. Manikandan
M. Manikandan is an Indian filmmaker and screenwriter known for his critically acclaimed Tamil films that blend social realism with subtle humor.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe45c8c819080fbdf1d94376feb |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.