Triple

T7923420
Position Surface form Disambiguated ID Type / Status
Subject Ledisi E183999 entity
Predicate notableSong P4 FINISHED
Object "Higher Than This"
"Higher Than This" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and uplifting, inspirational style.
 E698015 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: "Higher Than This" | Statement: [Ledisi, notableSong, "Higher Than This"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Higher Than This"
Context triple: [Ledisi, notableSong, "Higher Than This"]
  • A. Go Higher
    "Go Higher" is a popular Afro-dancehall track by Ghanaian musician Stonebwoy that showcases his uplifting lyrics and energetic style.
  • B. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • C. So High
    "So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
  • D. "Right Above It"
    "Right Above It" is a hip-hop song by Lil Wayne featuring Drake that gained widespread recognition and cultural prominence in the early 2010s.
  • E. How High
    How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
  • 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: "Higher Than This"
Triple: [Ledisi, notableSong, "Higher Than This"]
Generated description
"Higher Than This" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and uplifting, inspirational style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "Higher Than This"
Target entity description: "Higher Than This" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and uplifting, inspirational style.
  • A. Go Higher
    "Go Higher" is a popular Afro-dancehall track by Ghanaian musician Stonebwoy that showcases his uplifting lyrics and energetic style.
  • B. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • C. So High
    "So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
  • D. "Right Above It"
    "Right Above It" is a hip-hop song by Lil Wayne featuring Drake that gained widespread recognition and cultural prominence in the early 2010s.
  • E. How High
    How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aaadd1c8190971f2a6c7636cae4 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.