Triple
T20810900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandodari |
E512296
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Meghanada |
—
|
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: Meghanada | Statement: [Mandodari, motherOf, Meghanada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meghanada Context triple: [Mandodari, motherOf, Meghanada]
-
A.
Meghanada
chosen
Meghanada is a powerful warrior prince from the Hindu epic Ramayana, famed as the son of Ravana and a formidable adversary of Rama and his allies.
-
B.
Navakasiga
Navakasiga is a village-level settlement located in the Bua Province on the northern island of Vanua Levu in Fiji.
-
C.
Taladhwaja
Taladhwaja is the ceremonial chariot dedicated to Lord Balabhadra in the famous Rath Yatra festival of Puri, Odisha.
-
D.
Ghatotkacha
Ghatotkacha is a powerful, magic-wielding rakshasa warrior from the Mahabharata, famed for his crucial role and heroic death in the Kurukshetra War.
-
E.
Mahishya
Mahishya is a prominent agrarian and artisan community from Bengal, historically influential in regional society, economy, and social reform movements.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d27a4881908b34679385d8b94b |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.