Triple
T4513966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surya |
E102111
|
entity |
| Predicate | fatherOf |
P120
|
FINISHED |
| Object | Shani |
E448870
|
NE FINISHED |
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: Shani | Statement: [Surya, fatherOf, Shani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shani Context triple: [Surya, fatherOf, Shani]
-
A.
Shani
chosen
Shani is a major Hindu deity associated with the planet Saturn, karma, justice, and the dispensation of rewards and hardships.
-
B.
Shesha
Shesha is the cosmic serpent in Hindu mythology who serves as the divine couch of Lord Vishnu and symbolizes eternity and the foundation of the universe.
-
C.
Varuna
Varuna is an ancient Vedic god primarily associated with cosmic order, moral law, and the waters, often regarded as a sovereign guardian of ṛta (universal order).
-
D.
Varuna
Varuna is a large, rapidly rotating trans-Neptunian object in the Kuiper Belt, notable for its elongated shape and classification as a likely dwarf-planet candidate.
-
E.
Vrishabhavathi
Vrishabhavathi is a river in the Indian state of Karnataka that flows through parts of Bengaluru before joining the Arkavathi River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd572402f481908151f7899bc96306 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda42bd41c8190a9a25ccea6947089 |
completed | March 20, 2026, 7:46 p.m. |
Created at: March 20, 2026, 1:02 p.m.