Triple
T16183613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taare Zameen Par |
E392743
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Tanay Chheda |
E859280
|
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: Tanay Chheda | Statement: [Taare Zameen Par, castMember, Tanay Chheda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanay Chheda Context triple: [Taare Zameen Par, castMember, Tanay Chheda]
-
A.
Tanay Chheda
chosen
Tanay Chheda is an Indian actor best known for playing the teenage version of Jamal Malik in the Academy Award–winning film "Slumdog Millionaire."
-
B.
Sujan Raskhan
Sujan Raskhan is a notable literary work associated with the poet Raskhan, reflecting themes of devotion and love in the Bhakti tradition.
-
C.
Shaan Singh
Shaan Singh is a musician best known as a member of the band The Hooligans.
-
D.
Asheem Chandna
Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
-
E.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
- 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_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.