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.