Triple
T20170068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandava camp |
E491934
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Satyaki |
—
|
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: Satyaki | Statement: [Pandava camp, associatedWithCharacter, Satyaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satyaki Context triple: [Pandava camp, associatedWithCharacter, Satyaki]
-
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.
Savyasachi
Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
-
C.
Sudarshan
Sudarshan is a common Indian surname found across various regions and communities in India.
-
D.
Aniruddha
Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
-
E.
Shravikas
Shravikas are lay followers in Jainism who observe religious duties and ethical principles while living a household life outside the monastic order.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.