Triple
T22148914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuch Kuch Hota Hai |
E547362
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object | Rahul Khanna |
—
|
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: Rahul Khanna | Statement: [Kuch Kuch Hota Hai, leadCharacter, Rahul Khanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahul Khanna Context triple: [Kuch Kuch Hota Hai, leadCharacter, Rahul Khanna]
-
A.
Rahul Khanna
chosen
Rahul Khanna is an Indian actor known for his work in Hindi films and television, often recognized for his nuanced performances and understated screen presence.
-
B.
Siddharth Chopra
Siddharth Chopra is an Indian entrepreneur and the younger brother of actress and global icon Priyanka Chopra Jonas.
-
C.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
D.
Siddharth Roy Kapur
Siddharth Roy Kapur is an Indian film producer and media executive known for backing several critically acclaimed and commercially successful Bollywood films.
-
E.
Paresh Rawal
Paresh Rawal is a renowned Indian actor and comedian celebrated for his versatile performances in Hindi cinema and theatre.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f209688190afea1f275c922c73 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.