Triple
T23112952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritesh Agarwal |
E576370
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ritesh |
—
|
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 | Statement: [Ritesh Agarwal, givenName, Ritesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ritesh Context triple: [Ritesh Agarwal, givenName, Ritesh]
-
A.
Ritesh Soni
Ritesh Soni is an Indian film editor known for his work on Bollywood films, including the romantic thriller "Fanaa."
-
B.
Ritesh Sidhwani
Ritesh Sidhwani is an Indian film producer and co-founder of Excel Entertainment, known for backing influential Hindi films and series such as "Dil Chahta Hai," "Rock On!!," and "Mirzapur."
-
C.
Vishal
Vishal is a character from the Indian film "Karma," known for his role within the movie’s dramatic narrative.
-
D.
Ritesh Agarwal
chosen
Ritesh Agarwal is an Indian entrepreneur best known as the founder and CEO of the budget hotel chain OYO Rooms.
-
E.
Nitesh Tiwari
Nitesh Tiwari is an Indian film director and screenwriter best known for helming the blockbuster biographical sports drama "Dangal" and the coming-of-age hit "Chhichhore."
- 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.