Triple
T23188939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An American Trilogy |
E579676
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Dixie |
—
|
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: Dixie | Statement: [An American Trilogy, includesSong, Dixie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dixie Context triple: [An American Trilogy, includesSong, Dixie]
-
A.
Dixie
Dixie is a well-known American consumer brand specializing in disposable tableware products such as paper plates, cups, and napkins.
-
B.
Dixie
Dixie is an animated dog character from the classic Hanna-Barbera cartoon series "The Huckleberry Hound Show," often depicted as part of a comedic duo with his partner, Pixie.
-
C.
Dixie
chosen
Dixie is a historical nickname for the southeastern United States, especially the states that formed the former Confederacy.
-
D.
Dixie
Dixie is a feminine given name commonly used in the United States, often associated with the American South.
-
E.
Folks from Dixie
"Folks from Dixie" is a short story collection by Paul Laurence Dunbar that portrays the lives, struggles, and culture of African Americans in the post-Civil War American South.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.