Triple
T17044940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doc Pomus |
E413541
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Can’t Get Used to Losing You |
E615232
|
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: Can’t Get Used to Losing You | Statement: [Doc Pomus, notableWork, Can’t Get Used to Losing You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Can’t Get Used to Losing You Context triple: [Doc Pomus, notableWork, Can’t Get Used to Losing You]
-
A.
Can't Get Used to Losing You
chosen
"Can't Get Used to Losing You" is a popular 1963 pop ballad best known as a hit single by American singer Andy Williams.
-
B.
I Can’t Get Over Losin’ You
"I Can’t Get Over Losin’ You" is a soulful track by Isaac Hayes featured on the influential 1971 soundtrack album for the film *Shaft*.
-
C.
I Don't Want to Lose You
"I Don't Want to Lose You" is a soul/R&B song by Otis Redding featured on his 1965 album "Comfort Me."
-
D.
I Don’t Wanna Lose You
"I Don’t Wanna Lose You" is a pop ballad by Tina Turner featured on her 1989 album "Foreign Affair."
-
E.
I Don't Wanna Lose, Lose, You
"I Don't Wanna Lose, Lose, You" is a song by the American rock band ZZ Top, known for their blues-infused rock sound and distinctive guitar-driven style.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9d7e988190a5e3991c7123f9b0 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233cd3d48190b002951881ef670b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.