Triple
T10401808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rang De Basanti |
E245166
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ronnie Screwvala |
E849888
|
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: Ronnie Screwvala | Statement: [Rang De Basanti, producer, Ronnie Screwvala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronnie Screwvala Context triple: [Rang De Basanti, producer, Ronnie Screwvala]
-
A.
Ronnie Screwvala
chosen
Ronnie Screwvala is an Indian media entrepreneur and film producer, best known as the founder of UTV Group and a key figure in the growth of contemporary Hindi cinema.
-
B.
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."
-
C.
Sam Balsara
Sam Balsara is a prominent Indian advertising and media executive, best known as the founder and chairman of Madison World and Madison Communications.
-
D.
Raj Jain
Raj Jain is a prominent computer scientist known for his influential contributions to computer networking and performance analysis.
-
E.
Navin Chowdhry
Navin Chowdhry is a British actor known for his work in television, film, and theatre, including prominent roles in UK comedy and drama series.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f6fbc848190806d50bfad654b27 |
completed | April 10, 2026, 6:57 a.m. |
Created at: April 6, 2026, 12:08 p.m.