Triple

T8485271
Position Surface form Disambiguated ID Type / Status
Subject Wisin & Yandel E200816 entity
Predicate collaboratedWith P435 FINISHED
Object Don Omar E249441 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: Don Omar | Statement: [Wisin & Yandel, collaboratedWith, Don Omar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Omar
Context triple: [Wisin & Yandel, collaboratedWith, Don Omar]
  • A. Don Omar chosen
    Don Omar is a pioneering Puerto Rican reggaeton singer, songwriter, and producer widely regarded as one of the genre’s most influential and commercially successful artists.
  • B. Farruko
    Farruko is a Puerto Rican singer and songwriter known for his influential role in reggaeton and Latin trap music.
  • C. Prince Royce
    Prince Royce is a Dominican-American bachata singer and songwriter known for popular hits like his Spanish-language cover of "Stand by Me."
  • D. Romeo Santos
    Romeo Santos is an American singer, songwriter, and former lead vocalist of the bachata group Aventura, widely known as the “King of Bachata” for popularizing the genre worldwide.
  • 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_69cbe53b359c81908174addcd6e12785 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d316e50b548190b5f90a9753ad7cb0 completed April 6, 2026, 2:13 a.m.
Created at: March 30, 2026, 6:12 p.m.