Triple

T12273243
Position Surface form Disambiguated ID Type / Status
Subject Brenda Fassie E292522 entity
Predicate nickname P55 FINISHED
Object Mabrr
Mabrr is the iconic nickname of South African pop singer Brenda Fassie, celebrated as the “Queen of African Pop.”
 E974728 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: Mabrr | Statement: [Brenda Fassie, nickname, Mabrr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mabrr
Context triple: [Brenda Fassie, nickname, Mabrr]
  • A. Mabor
    Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • B. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • C. Mashobra
    Mashobra is a serene hill town near Shimla in Himachal Pradesh, India, known for its lush forests, apple orchards, and tranquil mountain scenery.
  • D. Martaban
    Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
  • E. Mambae
    Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
  • 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: Mabrr
Triple: [Brenda Fassie, nickname, Mabrr]
Generated description
Mabrr is the iconic nickname of South African pop singer Brenda Fassie, celebrated as the “Queen of African Pop.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mabrr
Target entity description: Mabrr is the iconic nickname of South African pop singer Brenda Fassie, celebrated as the “Queen of African Pop.”
  • A. Mabor
    Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • B. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • C. Mashobra
    Mashobra is a serene hill town near Shimla in Himachal Pradesh, India, known for its lush forests, apple orchards, and tranquil mountain scenery.
  • D. Martaban
    Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
  • E. Mambae
    Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
  • 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_69d91cee7158819093fff74db6867896 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6b50a48190b1beabd149d5830f completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f9386548190a749445a404db3a2 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f6207f164c8190b663a50ee3c761d6 completed May 2, 2026, 4:04 p.m.
Created at: April 8, 2026, 9:52 p.m.