Triple
T6296496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alka Yagnik |
E141143
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Syesha Kapoor
Syesha Kapoor is the daughter of renowned Indian playback singer Alka Yagnik.
|
E582851
|
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: Syesha Kapoor | Statement: [Alka Yagnik, hasChild, Syesha Kapoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syesha Kapoor Context triple: [Alka Yagnik, hasChild, Syesha Kapoor]
-
A.
Ekta Kapoor
Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
-
B.
Kirron Kher
Kirron Kher is an Indian film and television actress and politician known for her powerful character roles in Hindi cinema and her work as a Member of Parliament.
-
C.
Sonam Kapoor
Sonam Kapoor is a prominent Indian actress and fashion icon known for her work in Hindi cinema and her influential presence in the fashion industry.
-
D.
Anushka Sharma
Anushka Sharma is a prominent Indian actress and film producer known for her work in Bollywood films such as "Rab Ne Bana Di Jodi," "PK," and "NH10."
-
E.
Rajat Kapoor
Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
- 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: Syesha Kapoor Triple: [Alka Yagnik, hasChild, Syesha Kapoor]
Generated description
Syesha Kapoor is the daughter of renowned Indian playback singer Alka Yagnik.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syesha Kapoor Target entity description: Syesha Kapoor is the daughter of renowned Indian playback singer Alka Yagnik.
-
A.
Ekta Kapoor
Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
-
B.
Kirron Kher
Kirron Kher is an Indian film and television actress and politician known for her powerful character roles in Hindi cinema and her work as a Member of Parliament.
-
C.
Sonam Kapoor
Sonam Kapoor is a prominent Indian actress and fashion icon known for her work in Hindi cinema and her influential presence in the fashion industry.
-
D.
Anushka Sharma
Anushka Sharma is a prominent Indian actress and film producer known for her work in Bollywood films such as "Rab Ne Bana Di Jodi," "PK," and "NH10."
-
E.
Rajat Kapoor
Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643ac2b48190b2db036ce709e7ea |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5198e2c1c81909d39adffbdadcbdf |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51b04fa688190a366d5c90150a530 |
completed | March 26, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c583978758819094aebde9d410f849 |
completed | March 26, 2026, 7:05 p.m. |
Created at: March 22, 2026, 4:27 p.m.