Triple
T22103012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hum Aapke Hain Koun..! |
E546215
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Rajiv Jain
Rajiv Jain is an Indian cinematographer best known for his work on the landmark Bollywood film "Hum Aapke Hain Koun..!".
|
E1555551
|
NE FINISHED |
How this triple was built (4 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: Rajiv Jain | Statement: [Hum Aapke Hain Koun..!, cinematographyBy, Rajiv Jain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajiv Jain Context triple: [Hum Aapke Hain Koun..!, cinematographyBy, Rajiv Jain]
-
A.
Raj Jain
Raj Jain is a prominent computer scientist known for his influential contributions to computer networking and performance analysis.
-
B.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
C.
Rajiv Tandon
Rajiv Tandon is a film producer best known for his work on the 2016 Hindi romantic fantasy film "Mirzya."
-
D.
Rajiv Hari Om Bhatia
Rajiv Hari Om Bhatia is the birth name of Akshay Kumar, a prominent Indian actor and film producer known for his work in Bollywood.
-
E.
Harsh Jain
Harsh Jain is an Indian entrepreneur best known as the co-founder and CEO of Dream Sports, the parent company of fantasy sports platform Dream11.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rajiv Jain Triple: [Hum Aapke Hain Koun..!, cinematographyBy, Rajiv Jain]
Generated description
Rajiv Jain is an Indian cinematographer best known for his work on the landmark Bollywood film "Hum Aapke Hain Koun..!".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rajiv Jain Target entity description: Rajiv Jain is an Indian cinematographer best known for his work on the landmark Bollywood film "Hum Aapke Hain Koun..!".
-
A.
Raj Jain
Raj Jain is a prominent computer scientist known for his influential contributions to computer networking and performance analysis.
-
B.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
C.
Rajiv Tandon
Rajiv Tandon is a film producer best known for his work on the 2016 Hindi romantic fantasy film "Mirzya."
-
D.
Rajiv Hari Om Bhatia
Rajiv Hari Om Bhatia is the birth name of Akshay Kumar, a prominent Indian actor and film producer known for his work in Bollywood.
-
E.
Harsh Jain
Harsh Jain is an Indian entrepreneur best known as the co-founder and CEO of Dream Sports, the parent company of fantasy sports platform Dream11.
- F. None of above. chosen
Provenance (5 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e7867d08190a2d6d1a61a1a745d |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba0f5030c81909efd76deb3e6017d |
completed | May 18, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba1b94c8081909cbd256997af1dca |
completed | May 18, 2026, 11:33 p.m. |
Created at: April 16, 2026, 8:30 p.m.