Triple
T19359304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All India Trinamool Congress |
E484232
|
entity |
| Predicate | prominentLeader |
P1520
|
FINISHED |
| Object |
Sudip Bandyopadhyay
Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
|
E1377760
|
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: Sudip Bandyopadhyay | Statement: [All India Trinamool Congress, prominentLeader, Sudip Bandyopadhyay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudip Bandyopadhyay Context triple: [All India Trinamool Congress, prominentLeader, Sudip Bandyopadhyay]
-
A.
Pijush Bandyopadhyay
Pijush Bandyopadhyay is a Bangladeshi actor, director, and cultural activist known for his work in film, television, and theatre.
-
B.
Vidydhar Bhattacharya
Vidydhar Bhattacharya was an 18th-century Bengali architect and city planner best known for planning and designing the historic walled city of Jaipur in Rajasthan, India.
-
C.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
-
D.
Sabyasachi Saha
Sabyasachi Saha is an individual notable enough to be specifically distinguished as a bearer of the surname Saha.
-
E.
Sanjib Saha
Sanjib Saha is a person notable enough to be recognized as a namesake of the surname Saha.
- 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: Sudip Bandyopadhyay Triple: [All India Trinamool Congress, prominentLeader, Sudip Bandyopadhyay]
Generated description
Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sudip Bandyopadhyay Target entity description: Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
-
A.
Pijush Bandyopadhyay
Pijush Bandyopadhyay is a Bangladeshi actor, director, and cultural activist known for his work in film, television, and theatre.
-
B.
Vidydhar Bhattacharya
Vidydhar Bhattacharya was an 18th-century Bengali architect and city planner best known for planning and designing the historic walled city of Jaipur in Rajasthan, India.
-
C.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
-
D.
Sabyasachi Saha
Sabyasachi Saha is an individual notable enough to be specifically distinguished as a bearer of the surname Saha.
-
E.
Sanjib Saha
Sanjib Saha is a person notable enough to be recognized as a namesake of the surname Saha.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190b343c81909734ba776fd196dc |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07404041288190b8b76ea6f4209636 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740d489988190bf12f8515934e811 |
completed | May 15, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07416b52888190aa6b2a251b407abd |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, 1:34 p.m.