Triple
T23232651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Blackman |
E581201
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Macon County Line |
—
|
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: Macon County Line | Statement: [Joan Blackman, notableWork, Macon County Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macon County Line Context triple: [Joan Blackman, notableWork, Macon County Line]
-
A.
Macon County Line
chosen
Macon County Line is a 1974 low-budget American crime thriller film, often cited as one of the most successful independent films of its time.
-
B.
Chatham County Line
Chatham County Line is an American bluegrass and Americana band known for its traditional acoustic instrumentation and close-harmony vocals.
-
C.
Bundren
Bundren is the impoverished, rural Mississippi family at the center of William Faulkner’s novel "As I Lay Dying."
-
D.
Little River Road
Little River Road is a scenic roadway in Great Smoky Mountains National Park that follows the course of the Little River and is known for its picturesque mountain and riverside views.
-
E.
Dixie Road
"Dixie Road" is a country music song by Lee Greenwood that became one of his popular hits in the 1980s.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e70b2c8190abede6e3cd9344f7 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:09 p.m.