Triple
T21195388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banabhatta |
E522311
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Kadambari |
—
|
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: Kadambari | Statement: [Banabhatta, wrote, Kadambari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadambari Context triple: [Banabhatta, wrote, Kadambari]
-
A.
Kadambari
chosen
Kadambari is a classic Sanskrit romantic novel, renowned as one of the earliest and most intricate works of prose fiction in Indian literature.
-
B.
Durgeshnandini
Durgeshnandini is a pioneering 19th-century Bengali historical novel by Bankim Chandra Chattopadhyay, often regarded as one of the earliest major works of modern Bengali literature.
-
C.
Champakali
Champakali is an Indian Bengali film best known today for featuring legendary actress Suchitra Sen in a prominent role.
-
D.
Muktabai
Muktabai was a 13th-century Marathi saint and poet of the Varkari tradition, revered for her spiritual wisdom and abhang devotional hymns.
-
E.
Dasharathi
Dasharathi is an epithet of the Hindu deity Rama, highlighting him as the son of King Dasharatha.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333aa0fc81909b17eb6a26f389ec |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:08 p.m.