Triple
T19273758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welcome to Sajjanpur |
E481993
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ronnie Screwvala |
—
|
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: Ronnie Screwvala | Statement: [Welcome to Sajjanpur, producer, Ronnie Screwvala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronnie Screwvala Context triple: [Welcome to Sajjanpur, 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.
Sanjay Singhania
Sanjay Singhania is the amnesiac protagonist of the Indian film "Ghajini," known for using tattoos and photographs to track down his fiancée’s killer.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.