Triple
T16183493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarfarosh |
E392741
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mukesh Rishi
Mukesh Rishi is an Indian actor best known for his powerful villainous and character roles in Hindi and regional cinema.
|
E1209005
|
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: Mukesh Rishi | Statement: [Sarfarosh, starring, Mukesh Rishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukesh Rishi Context triple: [Sarfarosh, starring, Mukesh Rishi]
-
A.
Rishi Bhat
Rishi Bhat is an actor best known for his role in the family fantasy film "The Indian in the Cupboard."
-
B.
Shiv Kumar
Shiv Kumar was a renowned Punjabi poet celebrated for his deeply emotional and romantic verse, which left a lasting impact on modern Punjabi literature.
-
C.
Sanjay Sankla
Sanjay Sankla is an Indian film editor known for his work on Hindi cinema, including the popular film "Hum Hain Rahi Pyar Ke."
-
D.
Rakesh Parashar
Rakesh "Rick" Parashar was an American record producer and engineer best known for his work on landmark 1990s rock and grunge albums, including Pearl Jam’s "Ten" and Temple of the Dog’s self-titled record.
-
E.
Mukul Sharma
Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
- 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: Mukesh Rishi Triple: [Sarfarosh, starring, Mukesh Rishi]
Generated description
Mukesh Rishi is an Indian actor best known for his powerful villainous and character roles in Hindi and regional cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mukesh Rishi Target entity description: Mukesh Rishi is an Indian actor best known for his powerful villainous and character roles in Hindi and regional cinema.
-
A.
Rishi Bhat
Rishi Bhat is an actor best known for his role in the family fantasy film "The Indian in the Cupboard."
-
B.
Shiv Kumar
Shiv Kumar was a renowned Punjabi poet celebrated for his deeply emotional and romantic verse, which left a lasting impact on modern Punjabi literature.
-
C.
Sanjay Sankla
Sanjay Sankla is an Indian film editor known for his work on Hindi cinema, including the popular film "Hum Hain Rahi Pyar Ke."
-
D.
Rakesh Parashar
Rakesh "Rick" Parashar was an American record producer and engineer best known for his work on landmark 1990s rock and grunge albums, including Pearl Jam’s "Ten" and Temple of the Dog’s self-titled record.
-
E.
Mukul Sharma
Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d9c35248190a5540a692503c989 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:02 a.m.