Triple
T7122041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aparajito |
E165970
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Karuna Banerjee
Karuna Banerjee was an Indian actress best known for her poignant performances in Satyajit Ray’s classic films, particularly in the Apu Trilogy.
|
E650315
|
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: Karuna Banerjee | Statement: [Aparajito, stars, Karuna Banerjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karuna Banerjee Context triple: [Aparajito, stars, Karuna Banerjee]
-
A.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
B.
Smaran Ghosal
Smaran Ghosal was an Indian actor best known for playing the adult Apu in Satyajit Ray’s acclaimed film "Aparajito," part of the Apu Trilogy.
-
C.
Ruma Bose
Ruma Bose is an entrepreneur, investor, and author known for her leadership roles in social impact ventures and global business initiatives.
-
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.
Labanya Das
Labanya Das was the wife of renowned Bengali poet Jibanananda Das and a figure associated with his personal and literary life.
- 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: Karuna Banerjee Triple: [Aparajito, stars, Karuna Banerjee]
Generated description
Karuna Banerjee was an Indian actress best known for her poignant performances in Satyajit Ray’s classic films, particularly in the Apu Trilogy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karuna Banerjee Target entity description: Karuna Banerjee was an Indian actress best known for her poignant performances in Satyajit Ray’s classic films, particularly in the Apu Trilogy.
-
A.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
B.
Smaran Ghosal
Smaran Ghosal was an Indian actor best known for playing the adult Apu in Satyajit Ray’s acclaimed film "Aparajito," part of the Apu Trilogy.
-
C.
Ruma Bose
Ruma Bose is an entrepreneur, investor, and author known for her leadership roles in social impact ventures and global business initiatives.
-
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.
Labanya Das
Labanya Das was the wife of renowned Bengali poet Jibanananda Das and a figure associated with his personal and literary life.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbcf5f14819097a507bd64f1031f |
completed | March 28, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69c7cc5af4f48190a146f7026307bfbe |
completed | March 28, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd0eb36c8190bc8e4265033d214f |
completed | March 28, 2026, 12:43 p.m. |
Created at: March 27, 2026, 2:44 p.m.