Triple

T8484799
Position Surface form Disambiguated ID Type / Status
Subject ENOC E200804 entity
Predicate featuresArtist P1952 FINISHED
Object Wisin & Yandel E200816 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: Wisin & Yandel | Statement: [ENOC, featuresArtist, Wisin & Yandel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisin & Yandel
Context triple: [ENOC, featuresArtist, Wisin & Yandel]
  • A. Wisin & Yandel chosen
    Wisin & Yandel are a Puerto Rican reggaeton duo known for their influential role in popularizing Latin urban music worldwide.
  • B. Calle 13
    Calle 13 is a Puerto Rican urban music duo known for their genre-blending sound, socially conscious lyrics, and multiple Latin Grammy Awards.
  • C. Yandel
    Yandel is a Puerto Rican reggaeton singer and songwriter best known as one half of the duo Wisin & Yandel and for his influential solo work in Latin urban music.
  • D. 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.
  • 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_69ce3a3d7cb481908b366f76639bb955 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.