Triple
T19336928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumar Vishwas |
E483646
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Manju Sharma
Manju Sharma is known as the wife of Indian poet, politician, and public speaker Kumar Vishwas.
|
E1383217
|
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: Manju Sharma | Statement: [Kumar Vishwas, spouse, Manju Sharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manju Sharma Context triple: [Kumar Vishwas, spouse, Manju Sharma]
-
A.
Mani Sharma
Mani Sharma is an Indian film music composer and arranger best known for his prolific work in Telugu cinema, where he has created numerous hit soundtracks and background scores.
-
B.
Kumud Mishra
Kumud Mishra is an Indian film and theatre actor known for his versatile supporting roles in Hindi cinema, including notable performances in movies like Rockstar, Airlift, and Article 15.
-
C.
Sharan Narang
Sharan Narang is a machine learning researcher known for his work on large-scale natural language processing models, including contributions to the development of the T5 transformer architecture.
-
D.
Chetna Maroo
Chetna Maroo is a British-Kenyan author best known for her acclaimed debut novel "Western Lane," which was shortlisted for the Booker Prize.
-
E.
Aseem Sinha
Aseem Sinha is a film editor known for his work on the acclaimed Hindi film "Suraj Ka Satvan Ghoda."
- 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: Manju Sharma Triple: [Kumar Vishwas, spouse, Manju Sharma]
Generated description
Manju Sharma is known as the wife of Indian poet, politician, and public speaker Kumar Vishwas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manju Sharma Target entity description: Manju Sharma is known as the wife of Indian poet, politician, and public speaker Kumar Vishwas.
-
A.
Mani Sharma
Mani Sharma is an Indian film music composer and arranger best known for his prolific work in Telugu cinema, where he has created numerous hit soundtracks and background scores.
-
B.
Kumud Mishra
Kumud Mishra is an Indian film and theatre actor known for his versatile supporting roles in Hindi cinema, including notable performances in movies like Rockstar, Airlift, and Article 15.
-
C.
Sharan Narang
Sharan Narang is a machine learning researcher known for his work on large-scale natural language processing models, including contributions to the development of the T5 transformer architecture.
-
D.
Chetna Maroo
Chetna Maroo is a British-Kenyan author best known for her acclaimed debut novel "Western Lane," which was shortlisted for the Booker Prize.
-
E.
Aseem Sinha
Aseem Sinha is a film editor known for his work on the acclaimed Hindi film "Suraj Ka Satvan Ghoda."
- 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_6a0757681f188190841c6fae6bf7abbd |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758be89108190adb2369750eb90ca |
completed | May 15, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07599d4c988190a32a0aa9e561a61d |
completed | May 15, 2026, 5:36 p.m. |
Created at: April 10, 2026, 1:33 p.m.