Triple

T2845046
Position Surface form Disambiguated ID Type / Status
Subject Sarkodie E62563 entity
Predicate genre P14 FINISHED
Object Azonto
Azonto is a popular Ghanaian dance and music style characterized by fast-paced rhythms and expressive, often humorous body movements.
 E304093 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: Azonto | Statement: [Sarkodie, genre, Azonto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azonto
Context triple: [Sarkodie, genre, Azonto]
  • A. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • B. Samba Pa Ti
    "Samba Pa Ti" is an instrumental Latin rock ballad by guitarist Carlos Santana, renowned for its expressive, melodic guitar work and enduring popularity since its release in 1970.
  • C. Chaka
    "Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
  • D. Rumba
    Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
  • E. Umbanda
    Umbanda is a Brazilian syncretic religion that blends African traditions, Indigenous beliefs, and elements of Catholicism and Spiritism, centered on mediumship and the worship of various deities and spirits.
  • 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: Azonto
Triple: [Sarkodie, genre, Azonto]
Generated description
Azonto is a popular Ghanaian dance and music style characterized by fast-paced rhythms and expressive, often humorous body movements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azonto
Target entity description: Azonto is a popular Ghanaian dance and music style characterized by fast-paced rhythms and expressive, often humorous body movements.
  • A. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • B. Samba Pa Ti
    "Samba Pa Ti" is an instrumental Latin rock ballad by guitarist Carlos Santana, renowned for its expressive, melodic guitar work and enduring popularity since its release in 1970.
  • C. Chaka
    "Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
  • D. Rumba
    Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
  • E. Umbanda
    Umbanda is a Brazilian syncretic religion that blends African traditions, Indigenous beliefs, and elements of Catholicism and Spiritism, centered on mediumship and the worship of various deities and spirits.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d850b481909850ff5e89021824 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe990ce088190b42b20037c1eef3f completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b00d04f42081909d59e1ad1bec6c34 completed March 10, 2026, 12:22 p.m.
Created at: March 6, 2026, 10:02 p.m.