Triple
T6296482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alka Yagnik |
E141143
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Neeraj Kapoor
Neeraj Kapoor is the husband of renowned Indian playback singer Alka Yagnik and is known primarily for his private life away from the entertainment industry.
|
E582850
|
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: Neeraj Kapoor | Statement: [Alka Yagnik, spouse, Neeraj Kapoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neeraj Kapoor Context triple: [Alka Yagnik, spouse, Neeraj Kapoor]
-
A.
Neeraj Kabi
Neeraj Kabi is an acclaimed Indian actor and theatre director known for his powerful performances in films and web series such as "Ship of Theseus," "Talvar," and "Sacred Games."
-
B.
Anup Kumar
Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
-
C.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
D.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
E.
Sanjay Kapoor
Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
- 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: Neeraj Kapoor Triple: [Alka Yagnik, spouse, Neeraj Kapoor]
Generated description
Neeraj Kapoor is the husband of renowned Indian playback singer Alka Yagnik and is known primarily for his private life away from the entertainment industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neeraj Kapoor Target entity description: Neeraj Kapoor is the husband of renowned Indian playback singer Alka Yagnik and is known primarily for his private life away from the entertainment industry.
-
A.
Neeraj Kabi
Neeraj Kabi is an acclaimed Indian actor and theatre director known for his powerful performances in films and web series such as "Ship of Theseus," "Talvar," and "Sacred Games."
-
B.
Anup Kumar
Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
-
C.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
D.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
E.
Sanjay Kapoor
Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
- 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.