Triple
T18355300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia CK 85975 |
E439778
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | “Bye and Bye” |
—
|
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: “Bye and Bye” | Statement: [Columbia CK 85975, hasTrack, “Bye and Bye”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Bye and Bye” Context triple: [Columbia CK 85975, hasTrack, “Bye and Bye”]
-
A.
Bye and Bye
chosen
"Bye and Bye" is a country song recorded by the American duo Love and Theft.
-
B.
Bye Bye
"Bye Bye" is a song by the French electronic music duo E=MC².
-
C.
Bye Bye
"Bye Bye" is a pop and R&B ballad by Mariah Carey, known for its emotional tribute to lost loved ones and its inclusion on her 2008 album E=MC².
-
D.
Johnny Bye-Bye
Johnny Bye-Bye is a Bruce Springsteen song, best known as a rock and roll–influenced track from his early 1980s period that pays tribute to the spirit and tragedy of rock icon Elvis Presley.
-
E.
Bye Bye Blackbird
"Bye Bye Blackbird" is a popular jazz and pop standard from the 1920s that has been widely recorded by vocalists and instrumentalists across generations.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d69ae081908a36e7c3559a0694 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.