Triple
T19429180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adishesha |
E486064
|
entity |
| Predicate | otherName |
P39
|
FINISHED |
| Object | Ananta Shesha |
—
|
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: Ananta Shesha | Statement: [Adishesha, otherName, Ananta Shesha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ananta Shesha Context triple: [Adishesha, otherName, Ananta Shesha]
-
A.
Ananta Shesha
chosen
Ananta Shesha is the cosmic serpent in Hindu mythology who serves as the eternal resting couch of Lord Vishnu and symbolizes infinity and timelessness.
-
B.
Śeṣa
Śeṣa is the cosmic serpent and king of all nāgas in Hindu mythology, often depicted as the multi-headed serpent on whom the god Vishnu reclines.
-
C.
Kshira Sagara (Ocean of Milk)
Kshira Sagara, or the Ocean of Milk, is a primordial cosmic ocean in Hindu mythology, famed as the site of the churning of the ocean that produced divine treasures and the nectar of immortality.
-
D.
Varuṇa
Varuṇa is an ancient Vedic deity primarily associated with cosmic order, the celestial ocean, and moral law in early Hindu tradition.
-
E.
Sudarshana
Sudarshana is a character in the Indian epic Mahabharata, known as the wife of King Virata of Matsya.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321b78d08190b86cef7c60cbb61c |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.