Triple
T10477581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For the Good Times |
E247084
|
entity |
| Predicate | recordedBy |
P1165
|
FINISHED |
| Object | Jamey Johnson |
E775679
|
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: Jamey Johnson | Statement: [For the Good Times, recordedBy, Jamey Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamey Johnson Context triple: [For the Good Times, recordedBy, Jamey Johnson]
-
A.
Jamey Johnson
chosen
Jamey Johnson is an American country singer-songwriter known for his traditional, outlaw-influenced sound and critically acclaimed albums like "That Lonesome Song."
-
B.
Mark Womack
Mark Womack is a British actor known for his work in television dramas such as "Liverpool 1" and "Murphy's Law."
-
C.
Billy Currington
Billy Currington is an American country music singer and songwriter known for his smooth vocals and a string of chart-topping hits on the country charts.
-
D.
Rodney Atkins
Rodney Atkins is an American country music singer and songwriter known for hits like "If You're Going Through Hell" and "Watching You."
-
E.
Aaron Tippin
Aaron Tippin is an American country music singer-songwriter known for his patriotic themes and blue-collar anthems, particularly popular in the 1990s and early 2000s.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509596a088190895199648ccf91a4 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37382a0bc81908938b3cbdf0528e0 |
completed | April 18, 2026, 12:05 p.m. |
Created at: April 6, 2026, 12:21 p.m.