Triple
T2325395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bose |
E48275
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Moni Bose
Moni Bose was an Indian educator and academic known for her contributions to higher education and scholarship.
|
E260536
|
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: Moni Bose | Statement: [Bose, notableBearer, Moni Bose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moni Bose Context triple: [Bose, notableBearer, Moni Bose]
-
A.
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.
-
B.
Bijoya Ray
Bijoya Ray was an Indian playback singer and writer best known as the wife and close creative companion of renowned filmmaker Satyajit Ray.
-
C.
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.
-
D.
Labanya Das
Labanya Das was the wife of renowned Bengali poet Jibanananda Das and a figure associated with his personal and literary life.
-
E.
Anusua Bose
Anusua Bose is an individual notable enough to be recognized as a significant bearer of the surname Bose, though specific widely known public details about her are not clearly established.
- 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: Moni Bose Triple: [Bose, notableBearer, Moni Bose]
Generated description
Moni Bose was an Indian educator and academic known for her contributions to higher education and scholarship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moni Bose Target entity description: Moni Bose was an Indian educator and academic known for her contributions to higher education and scholarship.
-
A.
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.
-
B.
Bijoya Ray
Bijoya Ray was an Indian playback singer and writer best known as the wife and close creative companion of renowned filmmaker Satyajit Ray.
-
C.
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.
-
D.
Labanya Das
Labanya Das was the wife of renowned Bengali poet Jibanananda Das and a figure associated with his personal and literary life.
-
E.
Anusua Bose
Anusua Bose is an individual notable enough to be recognized as a significant bearer of the surname Bose, though specific widely known public details about her are not clearly established.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc649af4481908fdc0bc7f4777b71 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8786d508190aac531a88fc5076f |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aea9ca68148190a8773a80c8296a4d |
completed | March 9, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeaa32e3f48190ada5aab1b05e5aaa |
completed | March 9, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:50 p.m.