Triple
T20351752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harano Sur |
E496027
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Bikash Bhattacharjee
Bikash Bhattacharjee is an Indian actor known for his roles in Bengali cinema.
|
E1471798
|
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: Bikash Bhattacharjee | Statement: [Harano Sur, hasCastMember, Bikash Bhattacharjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bikash Bhattacharjee Context triple: [Harano Sur, hasCastMember, Bikash Bhattacharjee]
-
A.
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.
-
B.
Pijush Bandyopadhyay
Pijush Bandyopadhyay is a Bangladeshi actor, director, and cultural activist known for his work in film, television, and theatre.
-
C.
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.
-
D.
Sibsankar Roy
Sibsankar Roy is an Indian cricketer known for representing Assam in domestic competitions.
-
E.
Abinash Bhattacharya
Abinash Bhattacharya was an Indian revolutionary associated with the Berlin Committee, which worked to secure foreign support for India’s independence during World War I.
- 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: Bikash Bhattacharjee Triple: [Harano Sur, hasCastMember, Bikash Bhattacharjee]
Generated description
Bikash Bhattacharjee is an Indian actor known for his roles in Bengali cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bikash Bhattacharjee Target entity description: Bikash Bhattacharjee is an Indian actor known for his roles in Bengali cinema.
-
A.
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.
-
B.
Pijush Bandyopadhyay
Pijush Bandyopadhyay is a Bangladeshi actor, director, and cultural activist known for his work in film, television, and theatre.
-
C.
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.
-
D.
Sibsankar Roy
Sibsankar Roy is an Indian cricketer known for representing Assam in domestic competitions.
-
E.
Abinash Bhattacharya
Abinash Bhattacharya was an Indian revolutionary associated with the Berlin Committee, which worked to secure foreign support for India’s independence during World War I.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097eaf5bac8190b8904b5834225aa1 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a098022524481908858de1c80172973 |
completed | May 17, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09810158948190a9504d50c964efd9 |
completed | May 17, 2026, 8:49 a.m. |
Created at: April 16, 2026, 11:24 a.m.