Triple

T12258920
Position Surface form Disambiguated ID Type / Status
Subject More Love, Less Ego E292170 entity
Predicate hasPart P35 FINISHED
Object 2 Sugar
2 Sugar is a track from Wizkid’s album "More Love, Less Ego," showcasing his smooth Afrobeats style and melodic songwriting.
E973002 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: 2 Sugar | Statement: [More Love, Less Ego, hasPart, 2 Sugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2 Sugar
Context triple: [More Love, Less Ego, hasPart, 2 Sugar]
  • A. Sakkarin
    Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • B. Sugar
    Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
  • C. Sugar
    "Sugar" is a 2014 pop song by American band Maroon 5, known for its catchy hook and a music video featuring surprise performances at real weddings.
  • D. Sugar
    Sugar is an American alternative rock band formed by Bob Mould in the early 1990s, known for its melodic yet heavy guitar sound and influential albums like "Copper Blue."
  • E. Sugar
    Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
  • 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: 2 Sugar
Triple: [More Love, Less Ego, hasPart, 2 Sugar]
Generated description
2 Sugar is a track from Wizkid’s album "More Love, Less Ego," showcasing his smooth Afrobeats style and melodic songwriting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 2 Sugar
Target entity description: 2 Sugar is a track from Wizkid’s album "More Love, Less Ego," showcasing his smooth Afrobeats style and melodic songwriting.
  • A. Sakkarin
    Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • B. Sugar
    Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
  • C. Sugar
    "Sugar" is a 2014 pop song by American band Maroon 5, known for its catchy hook and a music video featuring surprise performances at real weddings.
  • D. Sugar
    Sugar is an American alternative rock band formed by Bob Mould in the early 1990s, known for its melodic yet heavy guitar sound and influential albums like "Copper Blue."
  • E. Sugar
    Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abfc8588190ab9300c6e5e59092 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f61a13fd1481908a06ca65b276e0e1 completed May 2, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69f61ad2bd0c8190ada37bc1f8ae160f completed May 2, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:52 p.m.