Triple
T20098842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janaki |
E496478
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Jānaki |
—
|
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: Jānaki | Statement: [Janaki, alsoKnownAs, Jānaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jānaki Context triple: [Janaki, alsoKnownAs, Jānaki]
-
A.
Rukmini
Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
-
B.
Indradevi
Indradevi was a learned Khmer queen and Buddhist patron of education and religion during the reign of King Jayavarman VII in the Angkor period.
-
C.
Subhadrangi
Subhadrangi is traditionally regarded as the mother of the Mauryan emperor Ashoka and is often identified in Buddhist texts as a queen of modest origins who became an important figure in his early life.
-
D.
Janaki
chosen
Janaki is another name for Sita, the revered goddess and wife of Lord Rama in the Hindu epic Ramayana.
-
E.
Janaki
Janaki is known primarily as the wife of legendary Indian film music composer M. S. Viswanathan.
- 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.