Triple
T10531751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | গোরা |
E248458
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | সুচরিতা |
E251456
|
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: সুচরিতা | Statement: [গোরা, mainCharacter, সুচরিতা]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: সুচরিতা Context triple: [গোরা, mainCharacter, সুচরিতা]
-
A.
Sucharita
chosen
Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
-
B.
Suchanda
Suchanda is a Bangladeshi film actress and producer, best known as a prominent figure in the country’s golden era of cinema.
-
C.
Suhita
Suhita was a 15th-century queen and ruler of the Majapahit Empire in Java, known for being one of the few female monarchs in Javanese history.
-
D.
Sharmistha
Sharmistha is a celebrated Bengali literary work by 19th-century poet and dramatist Michael Madhusudan Dutt, known for its pioneering role in modern Bengali drama.
-
E.
Sutikshna
Sutikshna is a sage in the Aranya Kanda of the Ramayana, known for offering hospitality and guidance to Rama, Sita, and Lakshmana during their exile in the forest.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a17f23081909f3372e160e21670 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e471e9c8190b134249073b289bd |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:30 p.m.