Triple
T19880863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nripendra Misra |
E477765
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Pramod Kumar 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: Pramod Kumar Mishra | Statement: [Nripendra Misra, successor, Pramod Kumar Mishra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pramod Kumar Mishra Context triple: [Nripendra Misra, successor, Pramod Kumar Mishra]
-
A.
Pramod Kumar Mishra
chosen
Pramod Kumar Mishra is a senior Indian Administrative Service officer who serves as a key bureaucratic advisor and top aide to the Prime Minister of India.
-
B.
Rajesh Kumar Mishra
Rajesh Kumar Mishra is an Indian politician known for serving as a Member of Parliament representing the Varanasi Lok Sabha constituency.
-
C.
Ashok Mishra
Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
-
D.
P. K. Mishra
P. K. Mishra is an Indian lyricist known for writing songs for Tamil cinema, including work on acclaimed film soundtracks.
-
E.
Kailashpati Mishra
Kailashpati Mishra was an Indian politician and leader of the Bharatiya Janata Party who served in various governmental and organizational roles.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658de4b288190a41bee67f570be1e |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.