Triple
T2014284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghare-Baire |
E43758
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Bimala |
E226204
|
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: Bimala | Statement: [Ghare-Baire, mainCharacter, Bimala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bimala Context triple: [Ghare-Baire, mainCharacter, Bimala]
-
A.
Bimala
chosen
Bimala is the central female protagonist and introspective narrator of Rabindranath Tagore’s novel "The Home and the World," whose personal awakening unfolds amid political and emotional turmoil.
-
B.
Kuhelika
Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
-
C.
Nabaneeta
Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
-
D.
Gajanana
Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
-
E.
Pritha
Pritha, better known as Kunti, is a prominent queen and mother of the Pandavas in the Indian epic Mahabharata.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe5ad548190b4a64c5320b99c6d |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:37 p.m.