Triple
T21772600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghanada |
E537472
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Ravana |
—
|
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: Ravana | Statement: [Meghanada, ally, Ravana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ravana Context triple: [Meghanada, ally, Ravana]
-
A.
Ravana
chosen
Ravana is the ten-headed demon king of Lanka in Hindu mythology, best known as the powerful antagonist of the epic Ramayana.
-
B.
Andhaka
Andhaka is a prominent clan within the ancient Yadava lineage of Hindu tradition, often associated with the family and kingdom of Krishna.
-
C.
Bakasura
Bakasura is a fearsome demon from Hindu mythology, known for his immense strength, cannibalistic nature, and defeat at the hands of the Pandava hero Bhima in the Mahabharata.
-
D.
Mahishasura
Mahishasura is a powerful buffalo demon in Hindu mythology, best known as the formidable adversary slain by the goddess Durga in a legendary cosmic battle.
-
E.
Vibhishana
Vibhishana is a virtuous rakshasa prince in the Hindu epic Ramayana, known for abandoning his brother Ravana to ally with Rama and uphold dharma.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031af6a488190a2dcebed43d199d4 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.