Triple
T7730162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahir Raihan |
E175227
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Suchanda
Suchanda is a Bangladeshi film actress and producer, best known as a prominent figure in the country’s golden era of cinema.
|
E685193
|
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: Suchanda | Statement: [Zahir Raihan, spouse, Suchanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suchanda Context triple: [Zahir Raihan, spouse, Suchanda]
-
A.
Nabaneeta
Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
-
B.
Sucharita
Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
-
C.
Chanda Gondi
Chanda Gondi is a regional dialect of the Southern Gondi language spoken by Gondi communities in central India.
-
D.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
E.
Shyamali
Shyamali is a residential or commercial unit located within the Uttarayan Complex development.
- 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: Suchanda Triple: [Zahir Raihan, spouse, Suchanda]
Generated description
Suchanda is a Bangladeshi film actress and producer, best known as a prominent figure in the country’s golden era of cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suchanda Target entity description: Suchanda is a Bangladeshi film actress and producer, best known as a prominent figure in the country’s golden era of cinema.
-
A.
Nabaneeta
Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
-
B.
Sucharita
Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
-
C.
Chanda Gondi
Chanda Gondi is a regional dialect of the Southern Gondi language spoken by Gondi communities in central India.
-
D.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
E.
Shyamali
Shyamali is a residential or commercial unit located within the Uttarayan Complex development.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52e176481908595fea4ace7a607 |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b69c1644819097b84ba84fac9cd2 |
completed | March 29, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8ba9115a08190b569931686a9cd8d |
completed | March 29, 2026, 5:37 a.m. |
Created at: March 27, 2026, 4:06 p.m.