Triple
T11037221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgiana Darcy |
E260917
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Character in Pride and Prejudice |
C28632
|
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: Character in Pride and Prejudice Context triple: [Georgiana Darcy, instanceOf, Character in Pride and Prejudice]
-
A.
character in Pride and Prejudice
chosen
A character in Pride and Prejudice is an individual—such as Elizabeth Bennet or Mr. Darcy—whose traits, relationships, and social position drive the novel’s exploration of love, class, and moral judgment in Regency-era England.
-
B.
character in To Kill a Mockingbird
A character in "To Kill a Mockingbird" is an individual—such as Scout, Atticus, or Tom Robinson—whose traits, actions, and relationships embody and explore the novel’s central themes of racial injustice, moral growth, and empathy in the American South.
-
C.
character in Les Misérables
A character in Les Misérables is an individual—major or minor—whose personal story, relationships, and moral struggles contribute to Victor Hugo’s broader exploration of justice, redemption, and the human condition in 19th-century France.
-
D.
Character in the Ramayana
A Character in the Ramayana is an individual—divine, human, or demonic—whose actions, relationships, and moral choices drive the epic’s narrative and embody its spiritual and ethical teachings.
-
E.
character in Silappatikaram
A character in Silappatikaram is an individual—mortal, divine, or symbolic—whose actions, relationships, and moral choices drive the epic’s exploration of justice, fate, and dharma in ancient Tamil society.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:25 p.m.