Triple

T8484728
Position Surface form Disambiguated ID Type / Status
Subject Nibiru E200803 entity
Predicate featuresArtist P1952 FINISHED
Object Anuel AA E125937 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: Anuel AA | Statement: [Nibiru, featuresArtist, Anuel AA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anuel AA
Context triple: [Nibiru, featuresArtist, Anuel AA]
  • A. Anuel AA chosen
    Anuel AA is a Puerto Rican rapper and singer known as a pioneer of Latin trap and for his gritty lyrics, legal troubles, and high-profile collaborations in the Latin urban music scene.
  • B. Calle 10
    Calle 10 is a street in Bogotá’s historic center that passes important government and colonial-era buildings, including the Palacio de San Carlos.
  • C. Ozuna
    Ozuna is a Puerto Rican reggaeton and Latin trap singer known for his melodic style and numerous chart-topping collaborations across Latin and global pop music.
  • D. Farruko
    Farruko is a Puerto Rican singer and songwriter known for his influential role in reggaeton and Latin trap music.
  • E. Nicky Jam
    Nicky Jam is an American reggaeton singer and songwriter known for hits like "El Perdón" and "Travesuras" and for helping popularize Latin urban music worldwide.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf27fc84cc81909b788839bbc8e016 completed April 3, 2026, 2:37 a.m.
Created at: March 30, 2026, 6:12 p.m.