Triple
T22102866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karma |
E546212
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Vishal
Vishal is a character from the Indian film "Karma," known for his role within the movie’s dramatic narrative.
|
E1556230
|
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: Vishal | Statement: [Karma, featuresCharacter, Vishal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vishal Context triple: [Karma, featuresCharacter, Vishal]
-
A.
Sanju Sharma
Sanju Sharma is a key character in the 1992 Indian sports drama film "Jo Jeeta Wohi Sikandar," known for being part of the central college rivalry and emotional storyline.
-
B.
Udayaditya
Udayaditya was an 11th-century ruler of the Paramara dynasty in central India, known for restoring stability to the kingdom after a period of decline.
-
C.
Vishal Mishra
Vishal Mishra is an Indian music composer and singer known for creating popular film soundtracks and melodious songs in Bollywood.
-
D.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
E.
Mohit Suri
Mohit Suri is an Indian film director known for his work in Bollywood romantic dramas and thrillers such as Aashiqui 2, Ek Villain, and Murder 2.
- 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: Vishal Triple: [Karma, featuresCharacter, Vishal]
Generated description
Vishal is a character from the Indian film "Karma," known for his role within the movie’s dramatic narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vishal Target entity description: Vishal is a character from the Indian film "Karma," known for his role within the movie’s dramatic narrative.
-
A.
Sanju Sharma
Sanju Sharma is a key character in the 1992 Indian sports drama film "Jo Jeeta Wohi Sikandar," known for being part of the central college rivalry and emotional storyline.
-
B.
Udayaditya
Udayaditya was an 11th-century ruler of the Paramara dynasty in central India, known for restoring stability to the kingdom after a period of decline.
-
C.
Vishal Mishra
Vishal Mishra is an Indian music composer and singer known for creating popular film soundtracks and melodious songs in Bollywood.
-
D.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
E.
Mohit Suri
Mohit Suri is an Indian film director known for his work in Bollywood romantic dramas and thrillers such as Aashiqui 2, Ek Villain, and Murder 2.
- 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_6a0ba791d9ec81908a518673ed3dd04b |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba81bade88190bc0f4225600509a2 |
completed | May 19, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8c3d6c88190944df9358dd58c4e |
completed | May 19, 2026, 12:03 a.m. |
Created at: April 16, 2026, 8:30 p.m.