Triple

T12725790
Position Surface form Disambiguated ID Type / Status
Subject You Go Kill Me E304102 entity
Predicate associatedDance P37 FINISHED
Object Azonto E304093 NE FINISHED

How this triple was built (2 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: [You Go Kill Me, associatedDance, Azonto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azonto
Context triple: [You Go Kill Me, associatedDance, Azonto]
  • A. Azonto chosen
    Azonto is a popular Ghanaian dance and music style characterized by fast-paced rhythms and expressive, often humorous body movements.
  • B. Batuka
    "Batuka" is an instrumental Latin rock track by Santana, known for its driving percussion and fusion of rock and Afro-Latin rhythms.
  • C. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • D. Batuque
    Batuque is an Afro-Brazilian religious tradition that blends West African (especially Yoruba) spiritual practices with elements of Catholicism and Indigenous beliefs, centered on the worship of orixás through music, dance, and ritual.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c85c6b88190bbdd94a43915a7a4 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.