Triple

T14241379
Position Surface form Disambiguated ID Type / Status
Subject Naira Marley E353013 entity
Predicate notableWork P4 FINISHED
Object Mafo
"Mafo" is a popular Nigerian street-hop song by Naira Marley that helped cement his reputation in the Afrobeats and street music scene.
 E1088301 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: Mafo | Statement: [Naira Marley, notableWork, Mafo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mafo
Context triple: [Naira Marley, notableWork, Mafo]
  • A. Mado
    Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
  • B. Maho
    Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
  • C. Morungaba
    Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
  • D. Masohi
    Masohi is a town that serves as the administrative center of Central Maluku Regency on Seram Island in Indonesia.
  • E. Mavoko
    Mavoko is a rapidly growing industrial and residential town in Kenya’s Machakos County that forms part of the greater Nairobi metropolitan area.
  • 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: Mafo
Triple: [Naira Marley, notableWork, Mafo]
Generated description
"Mafo" is a popular Nigerian street-hop song by Naira Marley that helped cement his reputation in the Afrobeats and street music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mafo
Target entity description: "Mafo" is a popular Nigerian street-hop song by Naira Marley that helped cement his reputation in the Afrobeats and street music scene.
  • A. Mado
    Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
  • B. Maho
    Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
  • C. Morungaba
    Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
  • D. Masohi
    Masohi is a town that serves as the administrative center of Central Maluku Regency on Seram Island in Indonesia.
  • E. Mavoko
    Mavoko is a rapidly growing industrial and residential town in Kenya’s Machakos County that forms part of the greater Nairobi metropolitan area.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28235880819094f5983cce01b0fc completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2b2363f881909e04edd850166dd5 completed May 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd2cf1a1248190a97644dadf1717bc completed May 8, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:08 a.m.