Triple

T7962432
Position Surface form Disambiguated ID Type / Status
Subject LuckyMe E184901 entity
Predicate hasArtist P5936 FINISHED
Object S-Type
S-Type is a Scottish hip-hop and electronic music producer known for his work with the LuckyMe collective and his synth-driven, cinematic beat style.
 E703254 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: S-Type | Statement: [LuckyMe, hasArtist, S-Type]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S-Type
Context triple: [LuckyMe, hasArtist, S-Type]
  • A. Type S
    Type S is Acura’s high-performance trim line, denoting sportier, more powerful versions of its standard models.
  • B. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • C. T-Model
    The T-Model was an early leather football design used in top-level international competitions, including the inaugural FIFA World Cup.
  • D. A-Spec
    A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
  • E. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • 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: S-Type
Triple: [LuckyMe, hasArtist, S-Type]
Generated description
S-Type is a Scottish hip-hop and electronic music producer known for his work with the LuckyMe collective and his synth-driven, cinematic beat style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S-Type
Target entity description: S-Type is a Scottish hip-hop and electronic music producer known for his work with the LuckyMe collective and his synth-driven, cinematic beat style.
  • A. Type S
    Type S is Acura’s high-performance trim line, denoting sportier, more powerful versions of its standard models.
  • B. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • C. T-Model
    The T-Model was an early leather football design used in top-level international competitions, including the inaugural FIFA World Cup.
  • D. A-Spec
    A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
  • E. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe08c36f48190b005c6c92ad813d0 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43b20148190ba9a4dd00a9f5862 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc3307ebd481908c1ec4b0be270a77 completed March 31, 2026, 8:48 p.m.
Created at: March 30, 2026, 5:12 p.m.