Triple
T20678101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhaktivinoda Thakur |
E508214
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Bhagavati Devi |
—
|
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: Bhagavati Devi | Statement: [Bhaktivinoda Thakur, spouse, Bhagavati Devi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhagavati Devi Context triple: [Bhaktivinoda Thakur, spouse, Bhagavati Devi]
-
A.
Bhagavati Devi
chosen
Bhagavati Devi was the pious mother of Bhaktisiddhanta Sarasvati Thakura, a prominent Gaudiya Vaishnava acharya and founder of the Gaudiya Math.
-
B.
Durga Bhagwati
Durga Bhagwati is a town located in Nepal's Madhesh Province.
-
C.
Māyādevī
Māyādevī is revered in Buddhist tradition as the queen and mother of Siddhartha Gautama, who became the Buddha.
-
D.
Bivabati Devi
Bivabati Devi was an Indian writer and social worker known for her contributions to Bengali literature and her role in the nationalist milieu surrounding the Bose family.
-
E.
Padma Parvati Lakshmi
Padma Parvati Lakshmi is an Indian-American author, model, and television host best known for presenting the cooking competition show "Top Chef."
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea354f0819094e9ee8d3adaa221 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:44 a.m.