Triple
T7660252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tollywood |
E173485
|
entity |
| Predicate | hasNotableActor |
P17435
|
FINISHED |
| Object |
Rituparna Sengupta
Rituparna Sengupta is a prominent Indian film actress best known for her extensive and acclaimed work in Bengali cinema.
|
E679430
|
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: Rituparna Sengupta | Statement: [Tollywood, hasNotableActor, Rituparna Sengupta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rituparna Sengupta Context triple: [Tollywood, hasNotableActor, Rituparna Sengupta]
-
A.
Priya Basu
Priya Basu is an economist and development finance expert known for her work on financial inclusion and policy at institutions such as the World Bank.
-
B.
Nandana Sen
Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
-
C.
Raima Sen
Raima Sen is an Indian film and television actress known for her work in Bengali and Hindi cinema and for being part of the prominent Sen acting family.
-
D.
Moni Bose
Moni Bose was an Indian educator and academic known for her contributions to higher education and scholarship.
-
E.
Nandita Puri
Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
- 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: Rituparna Sengupta Triple: [Tollywood, hasNotableActor, Rituparna Sengupta]
Generated description
Rituparna Sengupta is a prominent Indian film actress best known for her extensive and acclaimed work in Bengali cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rituparna Sengupta Target entity description: Rituparna Sengupta is a prominent Indian film actress best known for her extensive and acclaimed work in Bengali cinema.
-
A.
Priya Basu
Priya Basu is an economist and development finance expert known for her work on financial inclusion and policy at institutions such as the World Bank.
-
B.
Nandana Sen
Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
-
C.
Raima Sen
Raima Sen is an Indian film and television actress known for her work in Bengali and Hindi cinema and for being part of the prominent Sen acting family.
-
D.
Moni Bose
Moni Bose was an Indian educator and academic known for her contributions to higher education and scholarship.
-
E.
Nandita Puri
Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
- 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_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89becbf148190b1f065f4016a6d03 |
completed | March 29, 2026, 3:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89cc3a3788190bd91aa0995b96c26 |
completed | March 29, 2026, 3:30 a.m. |
Created at: March 27, 2026, 3:59 p.m.