Triple
T10946845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ride Along 2 |
E258619
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Atlanta |
E2602
|
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: Atlanta | Statement: [Ride Along 2, setting, Atlanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlanta Context triple: [Ride Along 2, setting, Atlanta]
-
A.
Atlanta
Atlanta is a critically acclaimed American television comedy-drama series created by and starring Donald Glover, following an aspiring music manager navigating the Atlanta rap scene and complex social issues.
-
B.
Atlanta
chosen
Atlanta is the capital and largest city of the U.S. state of Georgia, known as a major cultural, economic, and transportation hub of the southeastern United States.
-
C.
Macon
Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
-
D.
Macon
Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
-
E.
Savannah metropolitan area
The Savannah metropolitan area is a coastal urban region in southeastern Georgia centered on the historic port city of Savannah, known for its tourism, logistics, and cultural heritage.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770eaaea08190b06e508600d8a305 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b7578688190975c087d28808be5 |
completed | April 17, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:23 p.m.