Triple
T16439550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When It’s All Over We Still Have to Clear Up |
E399261
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Make Love to Me Forever |
E1073823
|
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: Make Love to Me Forever | Statement: [When It’s All Over We Still Have to Clear Up, hasPart, Make Love to Me Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Love to Me Forever Context triple: [When It’s All Over We Still Have to Clear Up, hasPart, Make Love to Me Forever]
-
A.
Please Love Me Forever
"Please Love Me Forever" is a 1967 pop ballad by Bobby Vinton that became one of his well-known romantic hit singles.
-
B.
Make Love to You
"Make Love to You" is a rock song by the short-lived 1976 collaboration The Stills-Young Band, formed by Stephen Stills and Neil Young.
-
C.
My Love Is Forever
"My Love Is Forever" is a soulful pop-funk song by Prince from his 1979 self-titled album.
-
D.
Make Love to Me
chosen
"Make Love to Me" is a popular 1954 traditional pop song best known for being a major hit recording by American singer Jo Stafford.
-
E.
Forever Your Love
"Forever Your Love" is a song featured on the album *Let Love*.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba720a48190b0b412225e993e52 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458dde8881909778c9964ddc8efa |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.