Triple
T20936609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelsey Asbille |
E515600
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fargo |
—
|
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: Fargo | Statement: [Kelsey Asbille, notableWork, Fargo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fargo Context triple: [Kelsey Asbille, notableWork, Fargo]
-
A.
Fargo
chosen
Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
-
B.
Fargo
Fargo is the NATO reporting name for the Mikoyan-Gurevich MiG-9, an early Soviet jet fighter developed shortly after World War II.
-
C.
Fargo, North Dakota
Fargo, North Dakota is the largest city in the state and a regional economic, cultural, and educational hub located along the Red River in the eastern part of North Dakota.
-
D.
Moorhead
Moorhead is a small town in Sunflower County, Mississippi, known historically as a railroad junction in the Mississippi Delta region.
-
E.
Grand Forks, North Dakota
Grand Forks, North Dakota is a city in the northeastern part of the state known for its Air Force base, regional university, and role as a strategic military and economic center in the Upper Midwest.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f9527004819082b72bf15e3c6419 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.