Triple
T22111551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buniyaad |
E546429
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Jyoti Sarup
Jyoti Sarup is an Indian television and film director best known for his work on the landmark TV series "Buniyaad."
|
E1558346
|
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: Jyoti Sarup | Statement: [Buniyaad, creator, Jyoti Sarup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jyoti Sarup Context triple: [Buniyaad, creator, Jyoti Sarup]
-
A.
Kusum Misra
Kusum Misra is known as the wife of Indian civil servant and former Principal Secretary to the Prime Minister, Nripendra Misra.
-
B.
Upasna Singh
Upasna Singh is an Indian television and film actress best known for her comic roles in Hindi cinema and popular TV shows like "Comedy Nights with Kapil."
-
C.
Manju Kumari Sinha
Manju Kumari Sinha was the wife of Nitish Kumar, a prominent Indian politician and long-serving Chief Minister of Bihar.
-
D.
Bhawani Das
Bhawani Das was an 18th-century Indian artist renowned for his detailed natural history paintings created for British patrons in colonial India.
-
E.
Deepal Shaw
Deepal Shaw is an Indian actress and former model best known for her roles in Bollywood films and music videos during the 2000s.
- 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: Jyoti Sarup Triple: [Buniyaad, creator, Jyoti Sarup]
Generated description
Jyoti Sarup is an Indian television and film director best known for his work on the landmark TV series "Buniyaad."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jyoti Sarup Target entity description: Jyoti Sarup is an Indian television and film director best known for his work on the landmark TV series "Buniyaad."
-
A.
Kusum Misra
Kusum Misra is known as the wife of Indian civil servant and former Principal Secretary to the Prime Minister, Nripendra Misra.
-
B.
Upasna Singh
Upasna Singh is an Indian television and film actress best known for her comic roles in Hindi cinema and popular TV shows like "Comedy Nights with Kapil."
-
C.
Manju Kumari Sinha
Manju Kumari Sinha was the wife of Nitish Kumar, a prominent Indian politician and long-serving Chief Minister of Bihar.
-
D.
Bhawani Das
Bhawani Das was an 18th-century Indian artist renowned for his detailed natural history paintings created for British patrons in colonial India.
-
E.
Deepal Shaw
Deepal Shaw is an Indian actress and former model best known for her roles in Bollywood films and music videos during the 2000s.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae70e3288190b569b4221214e6db |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0baf48d4c481909268ad4c6b4ff67a |
completed | May 19, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bafae553c8190a7426ba56b60f147 |
completed | May 19, 2026, 12:32 a.m. |
Created at: April 16, 2026, 8:31 p.m.