Triple
T4452269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Money |
E97640
|
entity |
| Predicate | returnsTo |
P45021
|
FINISHED |
| Object | Lotus, Georgia |
E439700
|
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: Lotus, Georgia | Statement: [Frank Money, returnsTo, Lotus, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotus, Georgia Context triple: [Frank Money, returnsTo, Lotus, Georgia]
-
A.
Lotus, Georgia
chosen
Lotus, Georgia is the small, segregated rural Southern town that serves as the haunting hometown setting in Toni Morrison’s novel "Home."
-
B.
Grovania, Georgia
Grovania, Georgia is an unincorporated community located in Houston County in the central part of the state.
-
C.
Valdosta, Georgia
Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
-
D.
Lithonia, Georgia
Lithonia, Georgia is a small city in the eastern Atlanta metropolitan area known historically for its granite quarries and African American heritage.
-
E.
Lebanon, Georgia
Lebanon, Georgia is a small unincorporated community located in Cherokee County in the U.S. state of Georgia.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6281cef58819095182f8c89fe6e59 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.