Triple
T18737709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuyudhana |
E458207
|
entity |
| Predicate | isSonOf |
P33614
|
FINISHED |
| Object | Satyaka |
—
|
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: Satyaka | Statement: [Yuyudhana, isSonOf, Satyaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satyaka Context triple: [Yuyudhana, isSonOf, Satyaka]
-
A.
Satyaki
chosen
Satyaki is a heroic warrior and ally of the Pandavas in the Indian epic Mahabharata, renowned for his valor, loyalty, and skill in archery.
-
B.
Satyashraya
Satyashraya was a prominent Western Chalukya ruler of early medieval India, noted for consolidating and expanding the dynasty’s power in the Deccan region.
-
C.
Sudarshan
Sudarshan is a common Indian surname found across various regions and communities in India.
-
D.
Sucharita
Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
-
E.
Satyavan
Satyavan is a virtuous prince in the Indian epic Mahabharata, best known as the husband of Savitri whose devotion wins him back from death.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.