Triple
T21780314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Sinatra Sings for Only the Lonely |
E537692
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Good-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: Good-bye | Statement: [Frank Sinatra Sings for Only the Lonely, hasTrack, Good-bye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good-bye Context triple: [Frank Sinatra Sings for Only the Lonely, hasTrack, Good-bye]
-
A.
Goodbye
chosen
"Goodbye" is a jazz standard composed by Gordon Jenkins that became widely known as the Benny Goodman Orchestra’s closing theme song.
-
B.
Goodbye
"Goodbye" is a track from AZ's album "Doe or Die II," showcasing his reflective lyricism and smooth East Coast hip-hop style.
-
C.
Goodbye
"Goodbye" is an Iranian drama film by director Mohammad Rasoulof that portrays a young lawyer’s struggles against political repression and bureaucratic obstacles in contemporary Iran.
-
D.
Goodbye
"Goodbye" is a song by Alicia Keys from her debut studio album, *Songs in A Minor*.
-
E.
Good Goodbye
"Good Goodbye" is a pop ballad performed by American Idol alumna Diana DeGarmo, showcasing her powerful vocals and emotional delivery.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462cae6481908d3e7f71683d8921 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.