Triple

T19534487
Position Surface form Disambiguated ID Type / Status
Subject North E488733 entity
Predicate hasTrack P3284 FINISHED
Object Like Sugar
"Like Sugar" is a song by the English electronic music duo North.
E1380912 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: Like Sugar | Statement: [North, hasTrack, Like Sugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Like Sugar
Context triple: [North, hasTrack, Like Sugar]
  • A. Sugar
    Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
  • B. Sugar
    Sugar is the intelligent and ambitious Victorian-era prostitute who serves as the central protagonist in the TV adaptation of "The Crimson Petal and the White."
  • C. Sugar
    Sugar is a stylish rooftop bar and lounge in Miami known for its panoramic city views and Asian-inspired cocktails.
  • D. Sugar
    Sugar is a sweet-tasting, soluble carbohydrate commonly used as a food ingredient and sweetener in countless culinary applications worldwide.
  • E. 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.
  • 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: Like Sugar
Triple: [North, hasTrack, Like Sugar]
Generated description
"Like Sugar" is a song by the English electronic music duo North.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Like Sugar
Target entity description: "Like Sugar" is a song by the English electronic music duo North.
  • A. Sugar
    Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
  • B. Sugar
    Sugar is the intelligent and ambitious Victorian-era prostitute who serves as the central protagonist in the TV adaptation of "The Crimson Petal and the White."
  • C. Sugar
    Sugar is a stylish rooftop bar and lounge in Miami known for its panoramic city views and Asian-inspired cocktails.
  • D. Sugar
    Sugar is a sweet-tasting, soluble carbohydrate commonly used as a food ingredient and sweetener in countless culinary applications worldwide.
  • E. 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.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e636417ed88190b4c66a323bca776f completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e7f3a9c819083931b6c20dd47ba completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074ef599a88190a1edd95887a0c092 completed May 15, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a074fa5d4ec81908900ebf532408239 completed May 15, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:41 p.m.