Triple

T3497179
Position Surface form Disambiguated ID Type / Status
Subject Nicolás Guillén E73878 entity
Predicate movement P81 FINISHED
Object Afro-Cubanism E68550 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: Afro-Cubanism | Statement: [Nicolás Guillén, movement, Afro-Cubanism]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afro-Cubanism
Context triple: [Nicolás Guillén, movement, Afro-Cubanism]
  • A. Afro-Cuban music chosen
    Afro-Cuban music is a genre that fuses African rhythmic and religious traditions with Cuban Spanish melodies and forms, giving rise to styles like rumba, son, and salsa that have profoundly shaped Caribbean and global popular music.
  • B. Afroswing
    Afroswing is a UK-born music genre that fuses elements of Afrobeats, dancehall, hip hop, and R&B into a melodic, rhythm-driven sound.
  • C. Afro-Cubans
    Afro-Cubans are Cuban nationals of predominantly African descent whose culture, religion, music, and history have profoundly shaped Cuba’s national identity.
  • 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. Cajiqueño
    Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd16c0081908f13535f459618d1 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d011c0819088245afe03be3c44 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.