Triple
T20351735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harano Sur |
E496027
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Bikash Roy
Bikash Roy was a prominent Indian Bengali actor and filmmaker known for his nuanced performances in classic Bengali cinema.
|
E1462826
|
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 Roy | Statement: [Harano Sur, hasCastMember, Bikash Roy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bikash Roy Context triple: [Harano Sur, hasCastMember, Bikash Roy]
-
A.
Bejoy Kumar Sinha
Bejoy Kumar Sinha was an Indian revolutionary and freedom fighter associated with the Hindustan Socialist Republican Association who participated in the militant struggle against British colonial rule.
-
B.
Bidhan Sarani
Bidhan Sarani is a major north–south thoroughfare in Kolkata, India, known for its historic neighborhoods, educational institutions, and cultural landmarks.
-
C.
Sukhendu Dutta
Sukhendu Dutta is a fictional character from the Indian film "Saat Pake Bandha."
-
D.
Bijoy Dibos
Bijoy Dibos is Bangladesh’s national Victory Day, commemorating the country’s triumph and independence in the Liberation War of 1971.
-
E.
Parag Das
Parag Das is a former Indian cricketer best known for representing Assam as a top-order batsman in domestic cricket.
- 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 Roy Triple: [Harano Sur, hasCastMember, Bikash Roy]
Generated description
Bikash Roy was a prominent Indian Bengali actor and filmmaker known for his nuanced performances in classic Bengali cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bikash Roy Target entity description: Bikash Roy was a prominent Indian Bengali actor and filmmaker known for his nuanced performances in classic Bengali cinema.
-
A.
Bejoy Kumar Sinha
Bejoy Kumar Sinha was an Indian revolutionary and freedom fighter associated with the Hindustan Socialist Republican Association who participated in the militant struggle against British colonial rule.
-
B.
Bidhan Sarani
Bidhan Sarani is a major north–south thoroughfare in Kolkata, India, known for its historic neighborhoods, educational institutions, and cultural landmarks.
-
C.
Sukhendu Dutta
Sukhendu Dutta is a fictional character from the Indian film "Saat Pake Bandha."
-
D.
Bijoy Dibos
Bijoy Dibos is Bangladesh’s national Victory Day, commemorating the country’s triumph and independence in the Liberation War of 1971.
-
E.
Parag Das
Parag Das is a former Indian cricketer best known for representing Assam as a top-order batsman in domestic cricket.
- 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_6a093b3c527c8190a7f3da5b71ca5e51 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a09410a09248190a1d96da0c04ce2a7 |
completed | May 17, 2026, 4:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09429e1c5c8190b0778b963f1446e6 |
completed | May 17, 2026, 4:22 a.m. |
Created at: April 16, 2026, 11:24 a.m.