Triple
T19198617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jazz (novel) |
E470038
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dorcas |
—
|
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: Dorcas | Statement: [Jazz (novel), mainCharacter, Dorcas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorcas Context triple: [Jazz (novel), mainCharacter, Dorcas]
-
A.
Dorcas
chosen
Dorcas is the young, enigmatic woman whose tragic love affair and death drive the central events and emotional tensions in Toni Morrison's novel "Jazz."
-
B.
Dorcas
Dorcas is a biblical woman from the New Testament, known for her charitable works and acts of kindness toward the poor.
-
C.
Dorcas Good
Dorcas Good was one of the youngest individuals accused of witchcraft during the Salem witch trials in 1692.
-
D.
Dorcas Malvin
Dorcas Malvin is a fictional character in Nathaniel Hawthorne’s short story “Roger Malvin’s Burial,” serving as the devoted daughter whose fate is tragically entwined with her father’s unburied death and her lover’s lingering guilt.
-
E.
Ernestine
Ernestine is a character from the television series "Underground," which dramatizes the lives and struggles of enslaved people seeking freedom via the Underground Railroad.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
Created at: April 10, 2026, 12:07 p.m.