Triple
T10964012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Stay Me |
E259048
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object |
You Make Me Want To
"You Make Me Want To" is a country song by Luke Bryan from his debut studio album "I'll Stay Me."
|
E897248
|
NE FINISHED |
How this triple was built (4 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: You Make Me Want To | Statement: [I'll Stay Me, includesTrack, You Make Me Want To]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Make Me Want To Context triple: [I'll Stay Me, includesTrack, You Make Me Want To]
-
A.
Make Me Want To
"Make Me Want To" is a country song by American singer Jimmie Allen that became one of his breakout hits on country radio.
-
B.
She Makes Me Wanna
"She Makes Me Wanna" is a 2011 upbeat dance-pop single by British boy band JLS featuring American singer Dev, known for its club-ready sound and chart success in the UK.
-
C.
U Make Me Wanna
"U Make Me Wanna" is a 1997 R&B single by Usher that became one of his breakthrough hits, noted for its smooth production and themes of romantic conflict.
-
D.
She Wants Me
She Wants Me is a 2012 independent romantic comedy film starring Josh Gad and Hilary Duff, produced by Mark Burg.
-
E.
Want to Want Me
"Want to Want Me" is a 2015 dance-pop single by Jason Derulo, known for its catchy hook and commercial success worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: You Make Me Want To Triple: [I'll Stay Me, includesTrack, You Make Me Want To]
Generated description
"You Make Me Want To" is a country song by Luke Bryan from his debut studio album "I'll Stay Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You Make Me Want To Target entity description: "You Make Me Want To" is a country song by Luke Bryan from his debut studio album "I'll Stay Me."
-
A.
Make Me Want To
"Make Me Want To" is a country song by American singer Jimmie Allen that became one of his breakout hits on country radio.
-
B.
She Makes Me Wanna
"She Makes Me Wanna" is a 2011 upbeat dance-pop single by British boy band JLS featuring American singer Dev, known for its club-ready sound and chart success in the UK.
-
C.
U Make Me Wanna
"U Make Me Wanna" is a 1997 R&B single by Usher that became one of his breakthrough hits, noted for its smooth production and themes of romantic conflict.
-
D.
She Wants Me
She Wants Me is a 2012 independent romantic comedy film starring Josh Gad and Hilary Duff, produced by Mark Burg.
-
E.
Want to Want Me
"Want to Want Me" is a 2015 dance-pop single by Jason Derulo, known for its catchy hook and commercial success worldwide.
- F. None of above. chosen
Provenance (5 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d77277108190979f1b1edeac8964 |
completed | April 18, 2026, 12:59 a.m. |
| NEDg | Description generation | batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3261cc4f48190ba0e5645f37cd4b5 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:23 p.m.