Triple
T21212387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Shine v. Union of India |
E522751
|
entity |
| Predicate | judge |
P3169
|
FINISHED |
| Object | Dipak Misra |
—
|
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: Dipak Misra | Statement: [Joseph Shine v. Union of India, judge, Dipak Misra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dipak Misra Context triple: [Joseph Shine v. Union of India, judge, Dipak Misra]
-
A.
Dipak Misra
chosen
Dipak Misra is a former Chief Justice of India known for authoring several landmark Supreme Court judgments on constitutional and civil rights.
-
B.
Nripendra Misra
Nripendra Misra is an Indian civil servant and former top bureaucrat who served as a key aide and principal advisor to Prime Minister Narendra Modi.
-
C.
Ramesh Narayan
Ramesh Narayan is an Indian classical musician and film composer known for his work in Malayalam cinema.
-
D.
Rajeev Misra
Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
-
E.
Vijay Joshi
Vijay Joshi is an Indian economist known for his influential work on macroeconomic policy and development, particularly in the context of the Indian economy.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346f762c8190a9f57d9e00d94d28 |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:38 p.m.