Triple
T6639225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana DeGarmo |
E150540
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Good Goodbye |
E583053
|
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: Good Goodbye | Statement: [Diana DeGarmo, notableSong, Good Goodbye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Goodbye Context triple: [Diana DeGarmo, notableSong, Good Goodbye]
-
A.
Good Goodbye
chosen
"Good Goodbye" is a pop ballad performed by American Idol alumna Diana DeGarmo, showcasing her powerful vocals and emotional delivery.
-
B.
Say Goodbye
"Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
-
C.
Goodbye
"Goodbye" is a song by Alicia Keys from her debut studio album, *Songs in A Minor*.
-
D.
Goodbye
"Goodbye" is a jazz standard composed by Gordon Jenkins that became widely known as the Benny Goodman Orchestra’s closing theme song.
-
E.
Goodbyes
"Goodbyes" is a melancholic hip-hop/pop single by Post Malone featuring Young Thug, known for its themes of heartbreak and its commercial success on global music charts.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff1fe8081908c32db341b0fb354 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e455edb88190983f74f39e55665c |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2 p.m.