Triple
T14517771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akasa Air |
E340567
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Vinay Dube
Vinay Dube is an Indian aviation executive and entrepreneur best known for leading and founding major airlines, including Akasa Air.
|
E1105591
|
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: Vinay Dube | Statement: [Akasa Air, founder, Vinay Dube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinay Dube Context triple: [Akasa Air, founder, Vinay Dube]
-
A.
Sunil Nayar
Sunil Nayar is a television producer and writer best known for his work on American drama series such as "Body of Proof" and "Revenge."
-
B.
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.
-
C.
Vijay Shankar
Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
-
D.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
E.
Prashant Dalvi
Prashant Dalvi is a prominent contemporary Marathi playwright known for his significant contributions to modern Marathi theatre.
- 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: Vinay Dube Triple: [Akasa Air, founder, Vinay Dube]
Generated description
Vinay Dube is an Indian aviation executive and entrepreneur best known for leading and founding major airlines, including Akasa Air.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinay Dube Target entity description: Vinay Dube is an Indian aviation executive and entrepreneur best known for leading and founding major airlines, including Akasa Air.
-
A.
Sunil Nayar
Sunil Nayar is a television producer and writer best known for his work on American drama series such as "Body of Proof" and "Revenge."
-
B.
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.
-
C.
Vijay Shankar
Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
-
D.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
E.
Prashant Dalvi
Prashant Dalvi is a prominent contemporary Marathi playwright known for his significant contributions to modern Marathi theatre.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6f50208190b687b505f5cd1aa2 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aaeaf40819087fa0db989813e02 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b5929c08190ae4596a23857ed06 |
completed | May 8, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8beb5d608190b4825ccb0935f041 |
completed | May 8, 2026, 7:08 a.m. |
Created at: April 10, 2026, 1:22 a.m.