Triple
T7660308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aparna Sen |
E173486
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Supriya Dasgupta
Supriya Dasgupta is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
|
E684106
|
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: Supriya Dasgupta | Statement: [Aparna Sen, parent, Supriya Dasgupta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Supriya Dasgupta Context triple: [Aparna Sen, parent, Supriya Dasgupta]
-
A.
Sutapa Sikdar
Sutapa Sikdar is an Indian dialogue and screenplay writer best known as the wife of acclaimed actor Irrfan Khan.
-
B.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
C.
Aparna Dasgupta
Aparna Dasgupta, better known as Aparna Sen, is a renowned Indian film director, screenwriter, and actress celebrated for her work in Bengali and parallel cinema.
-
D.
Madhabi Mukherjee
Madhabi Mukherjee is a renowned Indian actress best known for her powerful performances in classic Bengali films, particularly in collaboration with director Satyajit Ray.
-
E.
Sonali Das Gupta
Sonali Das Gupta was an Indian woman known primarily for her relationship and later marriage to Italian film director Roberto Rossellini, which drew significant public and media attention in the 1950s.
- 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: Supriya Dasgupta Triple: [Aparna Sen, parent, Supriya Dasgupta]
Generated description
Supriya Dasgupta is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Supriya Dasgupta Target entity description: Supriya Dasgupta is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
-
A.
Sutapa Sikdar
Sutapa Sikdar is an Indian dialogue and screenplay writer best known as the wife of acclaimed actor Irrfan Khan.
-
B.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
C.
Aparna Dasgupta
Aparna Dasgupta, better known as Aparna Sen, is a renowned Indian film director, screenwriter, and actress celebrated for her work in Bengali and parallel cinema.
-
D.
Madhabi Mukherjee
Madhabi Mukherjee is a renowned Indian actress best known for her powerful performances in classic Bengali films, particularly in collaboration with director Satyajit Ray.
-
E.
Sonali Das Gupta
Sonali Das Gupta was an Indian woman known primarily for her relationship and later marriage to Italian film director Roberto Rossellini, which drew significant public and media attention in the 1950s.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f716a48190a0ca52caffc2c1c1 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b6811b1881909a835ab4c3eefbf7 |
completed | March 29, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b6dcca508190b031eaea6b73b35e |
completed | March 29, 2026, 5:21 a.m. |
Created at: March 27, 2026, 3:59 p.m.