Triple
T19490027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudra |
E487623
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Mahadeva |
—
|
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: Mahadeva | Statement: [Rudra, epithet, Mahadeva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahadeva Context triple: [Rudra, epithet, Mahadeva]
-
A.
Mahadeva
chosen
Mahadeva is a principal form of the Hindu god Shiva, revered as the supreme deity and great lord in Shaivism.
-
B.
Svayambhudeva
Svayambhudeva was a notable medieval Jain scholar and poet who composed influential works in the Apabhramsha language.
-
C.
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."
-
D.
Mahalakadeva
Mahalakadeva was the last known ruler of the Paramara dynasty of Malwa, remembered for his resistance against the Delhi Sultanate in the early 14th century.
-
E.
Shivrinarayan
Shivrinarayan is a small town in Chhattisgarh, India, known as a Hindu pilgrimage site associated with the Ramayana and situated on the banks of the Hasdeo River.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348d43448190bf83680522b8b415 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.