Triple
T10049125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Wills |
E207695
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Back at One
"Back at One" is a country music song popularized by American singer Mark Wills, adapted from Brian McKnight’s R&B hit of the same name.
|
E342968
|
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: Back at One | Statement: [Mark Wills, notableWork, Back at One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Back at One Context triple: [Mark Wills, notableWork, Back at One]
-
A.
Back at One
"Back at One" is a popular R&B ballad and album by American singer Brian McKnight, known for its smooth vocals and romantic, step-by-step love lyrics.
-
B.
One Night
"One Night" is a breakout 2015 hip-hop single by Lil Yachty that gained widespread popularity through social media and helped launch his mainstream career.
-
C.
One Night Only
"One Night Only" is a popular song from the Broadway musical and film "Dreamgirls," composed by Henry Krieger and known for its powerful, soulful vocal performances.
-
D.
One by One
"One by One" is a song recorded by the American R&B/rock and roll vocal group The Coasters.
-
E.
One by One
One by One is a 2002 rock album by Foo Fighters known for its heavier sound and hit singles like "All My Life" and "Times Like These."
- 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: Back at One Triple: [Mark Wills, notableWork, Back at One]
Generated description
"Back at One" is a country music song popularized by American singer Mark Wills, adapted from Brian McKnight’s R&B hit of the same name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Back at One Target entity description: "Back at One" is a country music song popularized by American singer Mark Wills, adapted from Brian McKnight’s R&B hit of the same name.
-
A.
Back at One
chosen
"Back at One" is a popular R&B ballad and album by American singer Brian McKnight, known for its smooth vocals and romantic, step-by-step love lyrics.
-
B.
One Night
"One Night" is a breakout 2015 hip-hop single by Lil Yachty that gained widespread popularity through social media and helped launch his mainstream career.
-
C.
One Night Only
"One Night Only" is a popular song from the Broadway musical and film "Dreamgirls," composed by Henry Krieger and known for its powerful, soulful vocal performances.
-
D.
One by One
One by One is a 2002 rock album by Foo Fighters known for its heavier sound and hit singles like "All My Life" and "Times Like These."
-
E.
One by One
"One by One" is a song recorded by the American R&B/rock and roll vocal group The Coasters.
- F. None of above.
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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8cf4f0819084d831e1986790be |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2829674f08190b5f9c3b984106469 |
completed | April 5, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69d2868c5c88819080d73e50fabc2bb7 |
completed | April 5, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d286fdd2c88190b0ce5070c7875dcc |
completed | April 5, 2026, 3:59 p.m. |
Created at: March 30, 2026, 8:56 p.m.