Triple
T8528000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prosenjit Chatterjee |
E201866
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Arpita Chatterjee
Arpita Chatterjee is an Indian actress and public figure known for her work in Bengali cinema and her presence in the regional entertainment industry.
|
E742126
|
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: Arpita Chatterjee | Statement: [Prosenjit Chatterjee, spouse, Arpita Chatterjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpita Chatterjee Context triple: [Prosenjit Chatterjee, spouse, Arpita Chatterjee]
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
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.
-
C.
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.
-
D.
Supriya Dasgupta
Supriya Dasgupta is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
-
E.
Anuradha Paudwal
Anuradha Paudwal is a renowned Indian playback and devotional singer celebrated for her extensive work in Hindi cinema and bhajans since the 1970s.
- 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: Arpita Chatterjee Triple: [Prosenjit Chatterjee, spouse, Arpita Chatterjee]
Generated description
Arpita Chatterjee is an Indian actress and public figure known for her work in Bengali cinema and her presence in the regional entertainment industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arpita Chatterjee Target entity description: Arpita Chatterjee is an Indian actress and public figure known for her work in Bengali cinema and her presence in the regional entertainment industry.
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
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.
-
C.
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.
-
D.
Supriya Dasgupta
Supriya Dasgupta is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
-
E.
Anuradha Paudwal
Anuradha Paudwal is a renowned Indian playback and devotional singer celebrated for her extensive work in Hindi cinema and bhajans since the 1970s.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe672e0588190a84328e1bf974f08 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d54ef908190970a1010c8018abd |
completed | April 2, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69ce71cd3320819090f2e09f51493f9a |
completed | April 2, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce725a4cf081909cd470fd4d7452ca |
completed | April 2, 2026, 1:42 p.m. |
Created at: March 30, 2026, 6:17 p.m.