Triple

T5712737
Position Surface form Disambiguated ID Type / Status
Subject Dummy Boy E125946 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: [Dummy Boy, featuresArtist, Anuel AA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anuel AA
Context triple: [Dummy Boy, 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e337729081909ff1a9d4cd20eeb9 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:46 p.m.