Triple
T19018662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IndiGo |
E465423
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Rakesh Gangwal |
E464460
|
NE FINISHED |
How this triple was built (2 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: Rakesh Gangwal | Statement: [IndiGo, foundedBy, Rakesh Gangwal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rakesh Gangwal Context triple: [IndiGo, foundedBy, Rakesh Gangwal]
-
A.
Rakesh Gangwal
chosen
Rakesh Gangwal is an Indian-American billionaire airline executive and entrepreneur best known as the co-founder of IndiGo, one of India’s largest and most successful low-cost carriers.
-
B.
Sunil Gulati
Sunil Gulati is an American soccer executive best known for serving as president of the U.S. Soccer Federation and playing a key role in the growth and governance of the sport in the United States.
-
C.
Gagan Biyani
Gagan Biyani is an entrepreneur best known as a co-founder of the online learning platform Udemy and for his work in the education technology sector.
-
D.
Arun Athavale
Arun Athavale is an Indian actor best known for his work in Marathi theatre and films, including a notable role in the acclaimed play and film "Kanyadaan."
-
E.
Deepak Nayar
Deepak Nayar is a film producer known for his work on independent and genre films, including the horror-comedy "Tucker & Dale vs. Evil."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6dd0e6c8190a6dc6af1f7901299 |
completed | April 20, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f23d70fc81909f29eaf939e2144a |
completed | May 15, 2026, 10:15 a.m. |
Created at: April 10, 2026, 12:02 p.m.