Triple
T19746559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartersville High School |
E474265
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Billy Joe Royal |
—
|
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: Billy Joe Royal | Statement: [Cartersville High School, hasNotableAlumnus, Billy Joe Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Joe Royal Context triple: [Cartersville High School, hasNotableAlumnus, Billy Joe Royal]
-
A.
Billy Joe Royal
chosen
Billy Joe Royal was an American pop and country singer best known for his 1965 hit single "Down in the Boondocks."
-
B.
Billy Boy
Billy Boy is an independent drama film co-written by and starring Blake Jenner that explores the troubled life of a young man trying to escape his violent past.
-
C.
Billy Boy
"Billy Boy" is a track featured on the jazz album "Milestones" by trumpeter Miles Davis.
-
D.
Billy Morris
Billy Morris is an American rock guitarist best known for his work with the glam metal band Ratt.
-
E.
Earl King
Earl King was an influential American blues guitarist, singer, and songwriter closely associated with the New Orleans R&B scene.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65294b4008190818eda40630f4147 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.