Triple

T12159171
Position Surface form Disambiguated ID Type / Status
Subject José Álvaro Osorio Balvín E289658 entity
Predicate notableWork P4 FINISHED
Object Machika E761134 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: Machika | Statement: [José Álvaro Osorio Balvín, notableWork, Machika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machika
Context triple: [José Álvaro Osorio Balvín, notableWork, Machika]
  • A. Machika chosen
    Machika is a reggaeton and Latin trap single by J Balvin, Jeon, and Anitta known for its dark, futuristic sound and multilingual lyrics.
  • B. Macha
    Macha is a figure from Irish mythology, often associated with sovereignty, war, and horses, and is one of the aspects of the triple goddess Morrígan.
  • C. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • D. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • E. Masego
    Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.