Triple
T19336899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumar Vishwas |
E483646
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Vishwas Kumar Sharma
Vishwas Kumar Sharma, better known as Kumar Vishwas, is an Indian Hindi poet, performer, and politician associated with contemporary Hindi literature and public life.
|
E1392140
|
NE FINISHED |
How this triple was built (4 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: Vishwas Kumar Sharma | Statement: [Kumar Vishwas, birthName, Vishwas Kumar Sharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vishwas Kumar Sharma Context triple: [Kumar Vishwas, birthName, Vishwas Kumar Sharma]
-
A.
Virendra Sharma
Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
-
B.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
C.
Ashok Mishra
Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
-
D.
Naresh Kumar
Naresh Kumar is a senior Indian Administrative Service (IAS) officer who has served in top bureaucratic positions in the Government of Delhi.
-
E.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vishwas Kumar Sharma Triple: [Kumar Vishwas, birthName, Vishwas Kumar Sharma]
Generated description
Vishwas Kumar Sharma, better known as Kumar Vishwas, is an Indian Hindi poet, performer, and politician associated with contemporary Hindi literature and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vishwas Kumar Sharma Target entity description: Vishwas Kumar Sharma, better known as Kumar Vishwas, is an Indian Hindi poet, performer, and politician associated with contemporary Hindi literature and public life.
-
A.
Virendra Sharma
Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
-
B.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
C.
Ashok Mishra
Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
-
D.
Naresh Kumar
Naresh Kumar is a senior Indian Administrative Service (IAS) officer who has served in top bureaucratic positions in the Government of Delhi.
-
E.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
- F. None of above. chosen
Provenance (5 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61646e89081908c9f1d2cf557672c |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4d641b48190ba517e5f9e00434b |
completed | May 16, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_6a07b5a83f708190a317715bc650491b |
completed | May 16, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b67b11e48190bb841f2f4f1e784c |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:33 p.m.