Triple
T8362897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola |
E197052
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Ankit Bhati |
E192549
|
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: Ankit Bhati | Statement: [Ola, founder, Ankit Bhati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankit Bhati Context triple: [Ola, founder, Ankit Bhati]
-
A.
Ankit Bhati
chosen
Ankit Bhati is an Indian entrepreneur best known as the co-founder and former Chief Technology Officer of the ride-hailing company Ola.
-
B.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
C.
Anshu Jain
Anshu Jain was a prominent investment banker best known as the former co-CEO of Deutsche Bank and later a senior executive at Cantor Fitzgerald.
-
D.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
E.
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.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7c747b48190b1979b4eaf281df5 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 6 p.m.