Triple
T13652507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salil Parekh |
E326774
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Salil Satish Parekh |
E326773
|
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: Salil Satish Parekh | Statement: [Salil Parekh, fullName, Salil Satish Parekh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salil Satish Parekh Context triple: [Salil Parekh, fullName, Salil Satish Parekh]
-
A.
Utsav Parekh
Utsav Parekh is an Indian businessman and sports investor best known as a co-owner of the Indian Super League football club Atlético de Kolkata.
-
B.
Salil Parekh
chosen
Salil Parekh is an Indian business executive who serves as the CEO and Managing Director of Infosys, one of the world’s leading IT services and consulting companies.
-
C.
Ronnie Irani
Ronnie Irani is a former English all-rounder who played county cricket for Essex and represented England in both Test and One Day International matches.
-
D.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
E.
Mahesh Manjrekar
Mahesh Manjrekar is an Indian filmmaker and actor known for his influential work in Marathi and Hindi cinema, including directing acclaimed films like "Vaastav."
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc609676c8190b5b1cabe6b315142 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d46c48c81908d64f1a32cf08c5b |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:52 p.m.