Triple
T4735985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IndiGo |
E105127
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Rahul Bhatia
Rahul Bhatia is an Indian businessman best known as the co-founder and key architect of IndiGo’s rise into India’s largest low-cost airline.
|
E471118
|
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: Rahul Bhatia | Statement: [IndiGo, founder, Rahul Bhatia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahul Bhatia Context triple: [IndiGo, founder, Rahul Bhatia]
-
A.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
-
B.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
C.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
D.
Nick Mehta
Nick Mehta is a technology executive best known as the CEO of Gainsight and a prominent advocate and thought leader in the field of customer success.
-
E.
Utkarsh Ambudkar
Utkarsh Ambudkar is an American actor, rapper, and singer known for his work in film, television, and theater, including roles in projects like "Pitch Perfect," "Brittany Runs a Marathon," and the TV series "Ghosts."
- 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: Rahul Bhatia Triple: [IndiGo, founder, Rahul Bhatia]
Generated description
Rahul Bhatia is an Indian businessman best known as the co-founder and key architect of IndiGo’s rise into India’s largest low-cost airline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahul Bhatia Target entity description: Rahul Bhatia is an Indian businessman best known as the co-founder and key architect of IndiGo’s rise into India’s largest low-cost airline.
-
A.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
-
B.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
C.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
D.
Nick Mehta
Nick Mehta is a technology executive best known as the CEO of Gainsight and a prominent advocate and thought leader in the field of customer success.
-
E.
Utkarsh Ambudkar
Utkarsh Ambudkar is an American actor, rapper, and singer known for his work in film, television, and theater, including roles in projects like "Pitch Perfect," "Brittany Runs a Marathon," and the TV series "Ghosts."
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64831c58819098758ac1f7839b3a |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d8230208190bfa833f12573f78f |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4e38bccc81909102f922fd395568 |
completed | March 21, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ea8fa708190909e26268b49b678 |
completed | March 21, 2026, 7:54 a.m. |
Created at: March 20, 2026, 1:19 p.m.