Triple
T19708024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shri Nathji |
E473265
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Shrinathji |
—
|
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: Shrinathji | Statement: [Shri Nathji, alsoKnownAs, Shrinathji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shrinathji Context triple: [Shri Nathji, alsoKnownAs, Shrinathji]
-
A.
Shrinathji
chosen
Shrinathji is a revered form of Krishna, especially worshipped in the Pushtimarg (Vallabha Sampradaya) tradition as the child-god lifting Govardhan Hill.
-
B.
Vaidyanath
Vaidyanath is a revered form of the Hindu god Shiva worshipped as the divine healer and lord of physicians.
-
C.
Devanur Mahadeva
Devanur Mahadeva is a prominent Indian writer and public intellectual known for his socially conscious and Dalit-centered works in Kannada.
-
D.
Mahadev
Mahadev is the naive yet well-meaning aspiring writer who serves as the central protagonist and narrator in the satirical Hindi film "Welcome to Sajjanpur."
-
E.
Ekling Mahadev
Ekling Mahadev is a revered form of Lord Shiva worshipped as the presiding deity of the Mewar rulers, enshrined in the famous Eklingji temple complex in Rajasthan, India.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642bc754481908bdf5bfad069aec8 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.