Triple
T24878185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draupadi with strong devotional traits |
E622630
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | religious-literary character portrayal |
C9463
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: religious-literary character portrayal Context triple: [Draupadi with strong devotional traits, instanceOf, religious-literary character portrayal]
-
A.
religious allegory character
A religious allegory character is a symbolic figure whose traits, actions, and experiences represent spiritual principles, theological concepts, or moral lessons within a narrative.
-
B.
fictionalCharacterPortrayal
chosen
A fictionalCharacterPortrayal represents a specific depiction or interpretation of a fictional character within a particular work, adaptation, or performance context.
-
C.
literary figure
A literary figure is a person, real or fictional, who plays a significant role in the creation, development, or representation of literature and its cultural impact.
-
D.
religious literature
Religious literature is a body of written works—such as scriptures, theological treatises, devotional texts, and spiritual narratives—created to express, interpret, and transmit the beliefs, practices, values, and experiences of a religious tradition.
-
E.
character in children’s literature
A character in children’s literature is a fictional person, animal, or imaginative being whose actions, traits, and development drive the story and convey themes, lessons, or emotional experiences appropriate for young readers.
- F. None of above.
Provenance (1 batch)
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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 5:24 a.m.