Triple
T23250254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town Road |
E581711
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | YoungKio |
—
|
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: YoungKio | Statement: [Old Town Road, producer, YoungKio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YoungKio Context triple: [Old Town Road, producer, YoungKio]
-
A.
YoungKio
chosen
YoungKio is a Dutch music producer best known for creating the beat used in Lil Nas X’s global hit “Old Town Road.”
-
B.
kai yang
Kai yang is a popular Thai-style grilled chicken dish, especially associated with the Isan region of northeastern Thailand.
-
C.
JYO
JYO is the IATA airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia.
-
D.
Yong
Yong was the personal name of King Wuling of Zhao, a reformist ruler of the Warring States period in ancient China known for adopting nomadic military tactics and attire.
-
E.
Yong
Yong was the personal given name of Emperor Shizong, a prominent ruler of the Jurchen-led Jin dynasty in 12th-century China.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.