Triple
T10888245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ewell |
E257107
|
entity |
| Predicate | residesIn |
P75
|
FINISHED |
| Object | Maycomb County |
E889126
|
NE FINISHED |
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: Maycomb County | Statement: [Bob Ewell, residesIn, Maycomb County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maycomb County Context triple: [Bob Ewell, residesIn, Maycomb County]
-
A.
Maycomb County, Alabama
chosen
Maycomb County, Alabama is the fictional Depression-era Southern town that serves as the primary setting of Harper Lee’s novel "To Kill a Mockingbird."
-
B.
Yoknapatawpha County
Yoknapatawpha County is a fictional Mississippi county created by William Faulkner as the primary setting for many of his novels exploring the American South.
-
C.
Hale County
Hale County is a rural county in west-central Alabama known for its agricultural landscape, small towns, and role in the Black Belt region.
-
D.
Hazzard County, Georgia
Hazzard County, Georgia is a fictional rural Southern county best known as the primary setting of the television series "The Dukes of Hazzard."
-
E.
Shelby County, Alabama
Shelby County, Alabama is a suburban county in central Alabama, known for its fast-growing communities just south of Birmingham and a mix of residential, commercial, and natural areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75201e6888190a2bc41a17784eec3 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a91a3e1c819083ef144e7fd5603f |
completed | April 18, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:21 p.m.