Triple
T23224316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengali popular culture |
E580976
|
entity |
| Predicate | hasKeyFigure |
P810
|
FINISHED |
| Object |
Kaushik Ganguly
Kaushik Ganguly is an acclaimed Indian filmmaker, screenwriter, and actor known for his innovative and socially conscious work in Bengali cinema.
|
E1581078
|
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: Kaushik Ganguly | Statement: [Bengali popular culture, hasKeyFigure, Kaushik Ganguly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaushik Ganguly Context triple: [Bengali popular culture, hasKeyFigure, Kaushik Ganguly]
-
A.
Jahar Ganguly
Jahar Ganguly was an Indian actor and comedian known for his work in Bengali cinema during the mid-20th century.
-
B.
Gautam Saha
Gautam Saha is a relatively obscure individual about whom no widely known public information is available.
-
C.
Sourav Pal
Sourav Pal is an accomplished Indian chemist and academic known for his contributions to theoretical and computational chemistry.
-
D.
Ashok Kumar Ganguly
Ashok Kumar Ganguly is an Indian jurist and former judge of the Supreme Court of India who later served as the chairman of the West Bengal Human Rights Commission.
-
E.
Soumendu Roy
Soumendu Roy was an acclaimed Indian cinematographer best known for his long association with Satyajit Ray and his work on several landmark Bengali films.
- 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: Kaushik Ganguly Triple: [Bengali popular culture, hasKeyFigure, Kaushik Ganguly]
Generated description
Kaushik Ganguly is an acclaimed Indian filmmaker, screenwriter, and actor known for his innovative and socially conscious work in Bengali cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaushik Ganguly Target entity description: Kaushik Ganguly is an acclaimed Indian filmmaker, screenwriter, and actor known for his innovative and socially conscious work in Bengali cinema.
-
A.
Jahar Ganguly
Jahar Ganguly was an Indian actor and comedian known for his work in Bengali cinema during the mid-20th century.
-
B.
Gautam Saha
Gautam Saha is a relatively obscure individual about whom no widely known public information is available.
-
C.
Sourav Pal
Sourav Pal is an accomplished Indian chemist and academic known for his contributions to theoretical and computational chemistry.
-
D.
Ashok Kumar Ganguly
Ashok Kumar Ganguly is an Indian jurist and former judge of the Supreme Court of India who later served as the chairman of the West Bengal Human Rights Commission.
-
E.
Soumendu Roy
Soumendu Roy was an acclaimed Indian cinematographer best known for his long association with Satyajit Ray and his work on several landmark Bengali films.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922b4a348190ae570a869e30059f |
completed | April 29, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c79c6788190bd66f55a9e0560ca |
completed | May 19, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a0c50930c348190b81f1a4cbf432d93 |
completed | May 19, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c511e9be4819083eb3ec76fea8d51 |
completed | May 19, 2026, 12:01 p.m. |
Created at: April 17, 2026, 4:08 p.m.