Triple
T675537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs in A Minor |
E13068
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Goodbye |
E68453
|
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: Goodbye | Statement: [Songs in A Minor, hasPart, Goodbye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodbye Context triple: [Songs in A Minor, hasPart, Goodbye]
-
A.
Goodbye
chosen
"Goodbye" is a song by Alicia Keys from her debut studio album, *Songs in A Minor*.
-
B.
So Long, Farewell
"So Long, Farewell" is a popular song from the 1959 Rodgers and Hammerstein musical *The Sound of Music*, known for its playful farewell sequence performed by the von Trapp children.
-
C.
Goodbye My Lover
"Goodbye My Lover" is a melancholic pop ballad by British singer-songwriter James Blunt, known for its emotional lyrics about heartbreak and loss.
-
D.
So Gone
"So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
-
E.
They Say
"They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a1b6588190b0c9215afb3a9200 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.