Triple
T23112951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritesh Agarwal |
E576370
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ritesh Agarwal |
—
|
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: Ritesh Agarwal | Statement: [Ritesh Agarwal, name, Ritesh Agarwal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ritesh Agarwal Context triple: [Ritesh Agarwal, name, Ritesh Agarwal]
-
A.
Ritesh Agarwal
chosen
Ritesh Agarwal is an Indian entrepreneur best known as the founder and CEO of the budget hotel chain OYO Rooms.
-
B.
Ritesh Soni
Ritesh Soni is an Indian film editor known for his work on Bollywood films, including the romantic thriller "Fanaa."
-
C.
Rakesh Gangwal
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.
-
D.
Atul Agnihotri
Atul Agnihotri is an Indian film actor, producer, and director known for his work in Hindi cinema and for producing successful Bollywood films.
-
E.
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.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e100d408190a7349563235640d5 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.