Triple
T20751634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long May You Run |
E510734
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Make Love to You |
—
|
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: Make Love to You | Statement: [Long May You Run, hasTrack, Make Love to You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Love to You Context triple: [Long May You Run, hasTrack, Make Love to You]
-
A.
Make Love to You
chosen
"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.
-
B.
For You to Love
"For You to Love" is an R&B ballad by Freddie Jackson featured on his 1988 album "Don't Let Love Slip Away."
-
C.
Who You Love
"Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
-
D.
Your Love
"Your Love" is a pop and R&B song best known as a hit single co-written and produced by Pop Wansel.
-
E.
Loving You
Loving You is a 1957 musical drama film starring Elvis Presley, notable as his first starring movie role and produced by influential Hollywood producer Hal B. Wallis.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22ad0c8819087a8db2bac8dd408 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.