Triple
T21960070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V. K. Ratliff |
E542301
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | V. K. Ratliff |
—
|
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: V. K. Ratliff | Statement: [V. K. Ratliff, fullName, V. K. Ratliff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V. K. Ratliff Context triple: [V. K. Ratliff, fullName, V. K. Ratliff]
-
A.
V. K. Ratliff
chosen
V. K. Ratliff is a shrewd, observant sewing-machine salesman who serves as a central moral and narrative voice in William Faulkner’s Yoknapatawpha County stories.
-
B.
George Ratliff
George Ratliff is an American film director and screenwriter known for his work in psychological thrillers and character-driven dramas.
-
C.
J. L. Chestnut
J. L. Chestnut was a prominent civil rights attorney and activist from Alabama, known for his legal work challenging racial segregation and discrimination in the American South.
-
D.
James L. Wilmeth
James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
-
E.
H. M. Woodard
H. M. Woodard was the father of Academy Award–winning American character actress Jane Darwell.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12454a290819094d4b56547816e3f |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.