Triple
T10808342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayella Ewell |
E255025
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | character in To Kill a Mockingbird |
C28365
|
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 To Kill a Mockingbird Context triple: [Mayella Ewell, instanceOf, character in To Kill a Mockingbird]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Malory Towers character
A Malory Towers character is an individual—student, teacher, or staff member—who inhabits the fictional Cornish girls’ boarding school in Enid Blyton’s series, contributing to its school-life dramas, friendships, and moral lessons.
-
E.
character in a dystopian novel
A character in a dystopian novel is an individual whose actions, beliefs, and conflicts reveal and challenge the oppressive, dehumanizing structures of a bleak, often authoritarian future society.
- F. None of above. chosen
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:18 p.m.