Triple
T20351886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Moon Sen |
E496031
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Dibanath Sen |
—
|
NE NERFINISHED |
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: Dibanath Sen | Statement: [Moon Moon Sen, father, Dibanath Sen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dibanath Sen Context triple: [Moon Moon Sen, father, Dibanath Sen]
-
A.
Dibanath Sen
chosen
Dibanath Sen was the husband of legendary Indian Bengali film actress Suchitra Sen, belonging to a prominent Bengali family.
-
B.
Bireswar Sen
Bireswar Sen is an Indian actor known for his roles in Bengali cinema and television.
-
C.
Sukumar Sen
Sukumar Sen was an Indian civil servant who oversaw the country’s first general elections as its inaugural Chief Election Commissioner, helping to establish the foundations of India’s electoral democracy.
-
D.
Gopabandhu Das
Gopabandhu Das was an eminent Indian freedom fighter, social worker, journalist, and poet from Odisha, revered as “Utkalmani” for his contributions to education, social reform, and the nationalist movement.
-
E.
Bhabananda Das
Bhabananda Das is an Indian writer whose work inspired the film "Mrigayaa."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.