Triple

T15949471
Position Surface form Disambiguated ID Type / Status
Subject Soul Makossa E386774 entity
Predicate associatedDance P37 FINISHED
Object Makossa
Makossa is a popular urban dance and music style from Cameroon characterized by its infectious rhythms and hip-swaying movements.
 E1186109 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: Makossa | Statement: [Soul Makossa, associatedDance, Makossa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Makossa
Context triple: [Soul Makossa, associatedDance, Makossa]
  • A. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • B. Matsesta
    Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
  • C. Makka Pakka
    Makka Pakka is a small, stone-loving character from the British children's television series "In the Night Garden..." known for washing faces and stacking rocks.
  • D. Maatkas
    Maatkas is a town and commune located in the mountainous Kabylie region of northern Algeria.
  • E. Bde Maka Ska
    Bde Maka Ska is the largest lake in Minneapolis, Minnesota, popular for recreation and known as part of the city’s Chain of Lakes.
  • 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: Makossa
Triple: [Soul Makossa, associatedDance, Makossa]
Generated description
Makossa is a popular urban dance and music style from Cameroon characterized by its infectious rhythms and hip-swaying movements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Makossa
Target entity description: Makossa is a popular urban dance and music style from Cameroon characterized by its infectious rhythms and hip-swaying movements.
  • A. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • B. Matsesta
    Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
  • C. Makka Pakka
    Makka Pakka is a small, stone-loving character from the British children's television series "In the Night Garden..." known for washing faces and stacking rocks.
  • D. Maatkas
    Maatkas is a town and commune located in the mountainous Kabylie region of northern Algeria.
  • E. Bde Maka Ska
    Bde Maka Ska is the largest lake in Minneapolis, Minnesota, popular for recreation and known as part of the city’s Chain of Lakes.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf61b2ec81909c0f32613bb91a82 completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfddd0348190baab794f613c71bf completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.