Triple
T19429133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ananta Shesha |
E486063
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ananta |
—
|
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 | Statement: [Ananta Shesha, alsoKnownAs, Ananta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ananta Context triple: [Ananta Shesha, alsoKnownAs, Ananta]
-
A.
Ananta
chosen
Ananta is the cosmic serpent in Hindu mythology who serves as the endless, thousand-headed couch of the god Vishnu and symbolizes infinity and timelessness.
-
B.
Surapadman
Surapadman is a powerful demon king in Hindu mythology, best known as the primary adversary defeated by the god Murugan (Skanda) during the events commemorated in the Skanda Sashti festival.
-
C.
Arunan
Arunan is a given name, notably borne by individuals such as Arunan Arulampalam.
-
D.
Aratnadara
Aratnadara was a Mongol prince of the Yuan dynasty, known primarily as a son of the Yuan emperor Tugh Temür.
-
E.
Sahastradhara
Sahastradhara is a popular scenic spot near Dehradun in Uttarakhand, India, known for its waterfalls, caves, and sulfur-rich springs believed to have therapeutic properties.
- 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.