Triple
T18934261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aruna |
E463198
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Sampati |
—
|
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: Sampati | Statement: [Aruna, offspring, Sampati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sampati Context triple: [Aruna, offspring, Sampati]
-
A.
Sampati
chosen
Sampati is a character in the Indian epic Ramayana, a vulture-king known for being Jatayu’s elder brother who aids Rama’s allies by revealing Sita’s whereabouts.
-
B.
Sudarshan
Sudarshan is a common Indian surname found across various regions and communities in India.
-
C.
Srikanta
Srikanta is a classic Bengali novel by Sarat Chandra Chattopadhyay that explores the emotional and social struggles of its introspective protagonist against the backdrop of early 20th-century Bengal.
-
D.
Behari
Behari is a fictional character, likely from South Asian literature or drama, connected to the character Ashalata in a significant narrative relationship.
-
E.
Sutanu
Sutanu is a character in the Indian epic Mahabharata, known as one of the sons of King Virata of Matsya.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.