Triple
T19815093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namakkal |
E476038
|
entity |
| Predicate | hasTempleDeity |
P83903
|
FINISHED |
| Object | Lord Narasimha |
—
|
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: Lord Narasimha | Statement: [Namakkal, hasTempleDeity, Lord Narasimha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Narasimha Context triple: [Namakkal, hasTempleDeity, Lord Narasimha]
-
A.
Narasimha
chosen
Narasimha is the fierce man-lion incarnation of the Hindu god Vishnu, known for destroying the demon king Hiranyakashipu to protect his devotee Prahlada.
-
B.
Simhavishnu
Simhavishnu was an early and influential Pallava king in South India, known for consolidating Pallava power in the Tamil region and patronizing art and architecture that laid the groundwork for later Pallava achievements.
-
C.
Anjaneya
Anjaneya is another name for the Hindu deity Hanuman, revered as a symbol of strength, devotion, and selfless service.
-
D.
Nrisimhadeva
Nrisimhadeva is the fierce half-man, half-lion incarnation of the Hindu god Vishnu, revered as a powerful protector of devotees.
-
E.
Gopala
Gopala is a pastoral form of the Hindu god Krishna, revered especially as a divine cowherd and protector of cows.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.