Triple
T16183612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taare Zameen Par |
E392743
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Vipin Sharma |
E1012012
|
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: Vipin Sharma | Statement: [Taare Zameen Par, castMember, Vipin Sharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vipin Sharma Context triple: [Taare Zameen Par, castMember, Vipin Sharma]
-
A.
Vipin Sharma
chosen
Vipin Sharma is an Indian actor known for his character roles in Hindi cinema and streaming projects, including a prominent part in the action thriller film "Monkey Man."
-
B.
Vipin Kumar
Vipin Kumar is a prominent computer scientist known for his influential research in data mining and high-performance computing, particularly in applications to climate and earth sciences.
-
C.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
D.
Dinesh Gupta
Dinesh Gupta was an Indian revolutionary freedom fighter known for his role in the anti-colonial struggle against British rule in Bengal.
-
E.
Sunil Gulati
Sunil Gulati is an American soccer executive best known for serving as president of the U.S. Soccer Federation and playing a key role in the growth and governance of the sport in the United States.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003548837c819091695a91f88bd0bc |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:02 a.m.