Triple
T19625331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahul Bhatia |
E471118
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rahul Bhatia |
—
|
NE NERFINISHED |
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: Rahul Bhatia | Statement: [Rahul Bhatia, name, Rahul Bhatia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahul Bhatia Context triple: [Rahul Bhatia, name, Rahul Bhatia]
-
A.
Rahul Bhatia
chosen
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.
-
B.
Rahul Malhotra
Rahul Malhotra is the responsible and kind-hearted guardian of his late sister’s mischievous children in the Bollywood film "Hum Hain Rahi Pyar Ke."
-
C.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
-
D.
Akash Malhotra
Akash Malhotra is a carefree, witty young man whose emotional growth and evolving friendships form a central arc of the Bollywood film "Dil Chahta Hai."
-
E.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e92ff48190ae6e6ba2c603d5e7 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.