Triple
T17438821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breland |
E424092
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Cross Country |
—
|
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: Cross Country | Statement: [Breland, notableSingle, Cross Country]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cross Country Context triple: [Breland, notableSingle, Cross Country]
-
A.
Cross Country
Cross Country is a crime thriller novel in James Patterson's Alex Cross series that follows the detective on a dangerous pursuit of a ruthless killer from Washington, D.C. to Africa.
-
B.
Cross Country
Cross Country is a 1983 American thriller film in which Nina Axelrod plays a leading role.
-
C.
Cross Country
Cross Country is a rugged, off-road-oriented trim level of the Volvo V60 wagon featuring increased ground clearance and protective body cladding.
-
D.
Cross Country
chosen
"Cross Country" is a popular country-rap song by American artist Breland that blends genre-crossing production with autobiographical lyrics about his unconventional path in music.
-
E.
CrossCountry
CrossCountry is a major British train operating company that runs long-distance intercity and regional passenger services across much of the United Kingdom.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff584cc81908207c163f19ff972 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.