Triple

T13060121
Position Surface form Disambiguated ID Type / Status
Subject Majid Jordan E329173 entity
Predicate notableSong P4 FINISHED
Object Learn From Each Other
"Learn From Each Other" is an atmospheric R&B track by Canadian duo Majid Jordan, showcasing their smooth vocals and moody, minimalist production.
 E1018833 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: Learn From Each Other | Statement: [Majid Jordan, notableSong, Learn From Each Other]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Learn From Each Other
Context triple: [Majid Jordan, notableSong, Learn From Each Other]
  • A. Lessons Learned
    "Lessons Learned" is a song featured on the album *Some Hearts* by American country-pop singer Carrie Underwood.
  • B. Lesson Learned
    "Lesson Learned" is a soulful R&B song by Alicia Keys from her album "As I Am," reflecting on growth and resilience after heartbreak.
  • C. Lesson Learned
    "Lesson Learned" is a song by American rock band Alice in Chains from their 2009 comeback album *Black Gives Way to Blue*.
  • D. You're Learning
    "You're Learning" is a song featured on Emmylou Harris's 1980 country album "Roses in the Snow."
  • E. How We Learn
    How We Learn is a popular science book by cognitive neuroscientist Stanislas Dehaene that explains the brain mechanisms underlying learning and how they can inform more effective education.
  • 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: Learn From Each Other
Triple: [Majid Jordan, notableSong, Learn From Each Other]
Generated description
"Learn From Each Other" is an atmospheric R&B track by Canadian duo Majid Jordan, showcasing their smooth vocals and moody, minimalist production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Learn From Each Other
Target entity description: "Learn From Each Other" is an atmospheric R&B track by Canadian duo Majid Jordan, showcasing their smooth vocals and moody, minimalist production.
  • A. Lessons Learned
    "Lessons Learned" is a song featured on the album *Some Hearts* by American country-pop singer Carrie Underwood.
  • B. Lesson Learned
    "Lesson Learned" is a soulful R&B song by Alicia Keys from her album "As I Am," reflecting on growth and resilience after heartbreak.
  • C. Lesson Learned
    "Lesson Learned" is a song by American rock band Alice in Chains from their 2009 comeback album *Black Gives Way to Blue*.
  • D. You're Learning
    "You're Learning" is a song featured on Emmylou Harris's 1980 country album "Roses in the Snow."
  • E. How We Learn
    How We Learn is a popular science book by cognitive neuroscientist Stanislas Dehaene that explains the brain mechanisms underlying learning and how they can inform more effective education.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980be37208190962e91f1e19df159 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe259408190a7e88482c96f24a9 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cdc285788190a05a51295306f087 completed May 3, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69f6ceafcca88190bcd65be3c4440987 completed May 3, 2026, 4:27 a.m.
Created at: April 9, 2026, 8:58 p.m.