Triple
T20098864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janaki |
E496478
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Vaidehi |
—
|
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: Vaidehi | Statement: [Janaki, epithet, Vaidehi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaidehi Context triple: [Janaki, epithet, Vaidehi]
-
A.
Vaidehi
chosen
Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
-
B.
Vinata
Vinata is a figure in Hindu mythology known as the mother of Garuda and a consort of the sage Kashyapa.
-
C.
Dhara
Dhara was the historic capital city of the Paramara dynasty in central India, known as an important political and cultural center during the medieval period.
-
D.
Sudevi
Sudevi is one of the eight principal gopi companions of Radha and Krishna in Vaishnava tradition, revered for her intimate devotional service in the sacred pastimes of Vrindavan.
-
E.
Kshipra
Kshipra is a sacred river in central India, best known for flowing through the holy city of Ujjain and its importance in Hindu religious traditions and festivals.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.