Triple
T10592484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreign Affair |
E250024
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | I Don’t Wanna Lose You |
E873863
|
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: I Don’t Wanna Lose You | Statement: [Foreign Affair, notableSingle, I Don’t Wanna Lose You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Don’t Wanna Lose You Context triple: [Foreign Affair, notableSingle, I Don’t Wanna Lose You]
-
A.
I Don’t Wanna Lose You
chosen
"I Don’t Wanna Lose You" is a pop ballad by Tina Turner featured on her 1989 album "Foreign Affair."
-
B.
Like I'm Gonna Lose You
"Like I'm Gonna Lose You" is a soulful pop ballad by Meghan Trainor featuring John Legend that reflects on cherishing loved ones as if every moment with them could be the last.
-
C.
I Don’t Want You
"I Don’t Want You" is a punk rock song by the Ramones from their 1978 album *Road to Ruin*.
-
D.
I Don’t Wanna
"I Don’t Wanna" is a song by the band Hotspot.
-
E.
If I Don’t Have You
"If I Don’t Have You" is an R&B ballad by Tamar Braxton that showcases her powerful vocals and emotional storytelling about love and heartbreak.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277da8048190add007ca0c37253e |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b6109f08190915953e0ab708981 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 6, 2026, 12:40 p.m.