Triple

T11796567
Position Surface form Disambiguated ID Type / Status
Subject West Africans E280517 entity
Predicate hasMusicGenre P526 FINISHED
Object mbalax
Mbalax is a popular Senegalese and broader West African music genre that fuses traditional Wolof rhythms with elements of jazz, soul, and pop.
 E947831 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: mbalax | Statement: [West Africans, hasMusicGenre, mbalax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: mbalax
Context triple: [West Africans, hasMusicGenre, mbalax]
  • A. MALBA
    MALBA is a renowned museum in Buenos Aires dedicated to modern and contemporary Latin American art.
  • B. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • C. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • D. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • E. MBJ
    MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
  • 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: mbalax
Triple: [West Africans, hasMusicGenre, mbalax]
Generated description
Mbalax is a popular Senegalese and broader West African music genre that fuses traditional Wolof rhythms with elements of jazz, soul, and pop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: mbalax
Target entity description: Mbalax is a popular Senegalese and broader West African music genre that fuses traditional Wolof rhythms with elements of jazz, soul, and pop.
  • A. MALBA
    MALBA is a renowned museum in Buenos Aires dedicated to modern and contemporary Latin American art.
  • B. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • C. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • D. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • E. MBJ
    MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131110aa081909aa0b0d532e473a5 completed April 28, 2026, 10:13 p.m.
NEDg Description generation batch_69f14e879aa88190a95f13e23dd346f4 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f156fa5cc48190a43c1d2e5df346fe completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:42 p.m.