Triple
T19312274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vishvambhar Mishra |
E483000
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Jagannath 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: Jagannath Mishra | Statement: [Vishvambhar Mishra, father, Jagannath Mishra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jagannath Mishra Context triple: [Vishvambhar Mishra, father, Jagannath Mishra]
-
A.
Jagannath Mishra
chosen
Jagannath Mishra was a Bengali Brahmin scholar and the father of the Vaishnava saint and reformer Chaitanya Mahaprabhu.
-
B.
Akhilendra Mishra
Akhilendra Mishra is an Indian film and television actor known for his character roles in Hindi cinema and TV, including notable performances in movies like Lagaan and Sarfarosh.
-
C.
Upendra Bhanja
Upendra Bhanja was a celebrated 17th–18th century Odia poet renowned for his ornate style and major contributions to classical Odia literature.
-
D.
Prabhat Kumar
Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
-
E.
Ashok Mishra
Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604ce5de081909811c49f56ba94bb |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:32 p.m.