Triple
T18976033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brajesh Mishra |
E464298
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brajesh Mishra |
—
|
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: Brajesh Mishra | Statement: [Brajesh Mishra, name, Brajesh Mishra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brajesh Mishra Context triple: [Brajesh Mishra, name, Brajesh Mishra]
-
A.
Brajesh Mishra
chosen
Brajesh Mishra was an Indian diplomat and politician who became a key architect of India’s foreign and security policy in the late 1990s and early 2000s, particularly during the Vajpayee government.
-
B.
Shivkant Shukla
Shivkant Shukla is an Indian lawyer best known as the petitioner in the landmark Emergency-era habeas corpus case ADM Jabalpur v. Shivkant Shukla.
-
C.
Veerendra Saxena
Veerendra Saxena is an Indian actor known for his character roles in Hindi films and television.
-
D.
Ravindra Kishore Sinha
Ravindra Kishore Sinha is an Indian politician and businessman, known as the founder of the security services company SIS and for his tenure as a member of the Rajya Sabha.
-
E.
Raghuveer Chaudhari
Raghuveer Chaudhari is an acclaimed Indian Gujarati writer and scholar renowned for his influential novels, poetry, and literary criticism.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61f96c88190b9a25158e0b012ca |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon