Triple
T23224342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengali popular culture |
E580976
|
entity |
| Predicate | hasKeyFigure |
P810
|
FINISHED |
| Object |
Bidya Sinha Saha Mim
Bidya Sinha Saha Mim is a prominent Bangladeshi actress and model known for her leading roles in Bengali films and television dramas.
|
E1578629
|
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: Bidya Sinha Saha Mim | Statement: [Bengali popular culture, hasKeyFigure, Bidya Sinha Saha Mim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bidya Sinha Saha Mim Context triple: [Bengali popular culture, hasKeyFigure, Bidya Sinha Saha Mim]
-
A.
Dibaratrir Kabya
Dibaratrir Kabya is a renowned Bengali novel celebrated for its psychological depth and social realism.
-
B.
Swagata Biday
Swagata Biday is a notable literary work by prominent Bengali writer and poet Buddhadeva Bose.
-
C.
Odia Panjika
Odia Panjika is the traditional Hindu almanac used in the Indian state of Odisha to determine religious festivals, auspicious timings, and regional observances.
-
D.
Rupasi Bangla
Rupasi Bangla is a celebrated Bengali poetry collection by Jibanananda Das, renowned for its lyrical evocation of the natural beauty and cultural soul of Bengal.
-
E.
Tillotama Shome
Tillotama Shome is an acclaimed Indian actress known for her nuanced performances in independent and mainstream films across multiple languages.
- 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: Bidya Sinha Saha Mim Triple: [Bengali popular culture, hasKeyFigure, Bidya Sinha Saha Mim]
Generated description
Bidya Sinha Saha Mim is a prominent Bangladeshi actress and model known for her leading roles in Bengali films and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bidya Sinha Saha Mim Target entity description: Bidya Sinha Saha Mim is a prominent Bangladeshi actress and model known for her leading roles in Bengali films and television dramas.
-
A.
Dibaratrir Kabya
Dibaratrir Kabya is a renowned Bengali novel celebrated for its psychological depth and social realism.
-
B.
Swagata Biday
Swagata Biday is a notable literary work by prominent Bengali writer and poet Buddhadeva Bose.
-
C.
Odia Panjika
Odia Panjika is the traditional Hindu almanac used in the Indian state of Odisha to determine religious festivals, auspicious timings, and regional observances.
-
D.
Rupasi Bangla
Rupasi Bangla is a celebrated Bengali poetry collection by Jibanananda Das, renowned for its lyrical evocation of the natural beauty and cultural soul of Bengal.
-
E.
Tillotama Shome
Tillotama Shome is an acclaimed Indian actress known for her nuanced performances in independent and mainstream films across multiple languages.
- 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_6a0c3f51c9ec81909d8838c7e1d47468 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c43740a7c81909e9af7a9974a5700 |
completed | May 19, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c44d05c748190a5f4ab5f76dfcaab |
completed | May 19, 2026, 11:09 a.m. |
Created at: April 17, 2026, 4:08 p.m.