Triple
T21313309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pradyumna |
E525398
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Aniruddha |
—
|
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: Aniruddha | Statement: [Pradyumna, relatedTo, Aniruddha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aniruddha Context triple: [Pradyumna, relatedTo, Aniruddha]
-
A.
Aniruddha
chosen
Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
-
B.
Savyasachi
Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
-
C.
Shatrughna
Shatrughna is a prince of Ayodhya in the Hindu epic Ramayana, known as the devoted younger brother of Rama and the twin of Lakshmana.
-
D.
Upamanyu
Upamanyu is a devoted disciple in ancient Indian literature, known from the Mahabharata for his exemplary obedience and perseverance in serving his guru.
-
E.
Vasu
Vasu is a common Indian given name and name element, often associated with prosperity and used as a short form of names like Vasudevan.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcc6350819093763632b7e6e4ac |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:27 p.m.