Triple
T19055948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akash Ambani |
E466395
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Shloka Mehta
Shloka Mehta is an Indian businesswoman and philanthropist, known as the daughter of diamond magnate Russell Mehta and the wife of Reliance heir Akash Ambani.
|
E1363045
|
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: Shloka Mehta | Statement: [Akash Ambani, spouse, Shloka Mehta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shloka Mehta Context triple: [Akash Ambani, spouse, Shloka Mehta]
-
A.
Anil Mehta
Anil Mehta is an acclaimed Indian cinematographer known for his visually rich work on prominent Hindi films such as Lagaan and Kal Ho Naa Ho.
-
B.
Roopesh Parekh
Roopesh Parekh is a television and film producer known for his work on the adaptation of Agatha Christie's "Ordeal by Innocence."
-
C.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
D.
Ravi Kapoor
Ravi Kapoor is a filmmaker and creative professional best known for creating the project "Six Degrees."
-
E.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
- 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: Shloka Mehta Triple: [Akash Ambani, spouse, Shloka Mehta]
Generated description
Shloka Mehta is an Indian businesswoman and philanthropist, known as the daughter of diamond magnate Russell Mehta and the wife of Reliance heir Akash Ambani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shloka Mehta Target entity description: Shloka Mehta is an Indian businesswoman and philanthropist, known as the daughter of diamond magnate Russell Mehta and the wife of Reliance heir Akash Ambani.
-
A.
Anil Mehta
Anil Mehta is an acclaimed Indian cinematographer known for his visually rich work on prominent Hindi films such as Lagaan and Kal Ho Naa Ho.
-
B.
Roopesh Parekh
Roopesh Parekh is a television and film producer known for his work on the adaptation of Agatha Christie's "Ordeal by Innocence."
-
C.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
D.
Ravi Kapoor
Ravi Kapoor is a filmmaker and creative professional best known for creating the project "Six Degrees."
-
E.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc056b708190a2b84cbddf0fc2d9 |
completed | April 20, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f89cb07481908ab34b60a9afb1b8 |
completed | May 15, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a06f936e0b08190b614c393174ea885 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa52fa5081908e688e253c1f8f6d |
completed | May 15, 2026, 10:49 a.m. |
Created at: April 10, 2026, 12:03 p.m.