Triple
T7122132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charulata |
E165972
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Sailen Mukherjee |
E652793
|
NE FINISHED |
How this triple was built (2 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: Sailen Mukherjee | Statement: [Charulata, castMember, Sailen Mukherjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sailen Mukherjee Context triple: [Charulata, castMember, Sailen Mukherjee]
-
A.
Shailen Mukherjee
chosen
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
B.
Sutapa Sikdar
Sutapa Sikdar is an Indian dialogue and screenplay writer best known as the wife of acclaimed actor Irrfan Khan.
-
C.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
D.
Tithi Bhattacharya
Tithi Bhattacharya is a Marxist feminist scholar and activist best known for her work on social reproduction theory and for co-editing the influential book "Feminism for the 99%: A Manifesto."
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c7e50b2258819086ccde4f584dee1c |
completed | March 28, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2:44 p.m.