Triple

T10569526
Position Surface form Disambiguated ID Type / Status
Subject Don Omar E249441 entity
Predicate notableWork P4 FINISHED
Object Dile a Él
Dile a Él is a reggaeton song by Puerto Rican artist Don Omar, recognized as one of his early hits that helped establish his prominence in Latin urban music.
 E871944 NE FINISHED

How this triple was built (4 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: Dile a Él | Statement: [Don Omar, notableWork, Dile a Él]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dile a Él
Context triple: [Don Omar, notableWork, Dile a Él]
  • A. The Salvation
    The Salvation is a 2014 Danish-directed Western film starring Mads Mikkelsen as a settler seeking revenge in the American frontier.
  • B. The Passion
    The Passion is a novel by Jeanette Winterson that blends historical fiction and magical realism to explore love, war, and obsession during the Napoleonic era.
  • C. El Corazón
    El Corazón is a critically acclaimed 1997 album by American singer-songwriter Steve Earle that blends rock, country, and folk influences.
  • D. Each in His Own Way
    Each in His Own Way is a 1924 metatheatrical play by Luigi Pirandello that explores the fluidity of identity and the blurred boundary between reality and illusion.
  • E. La Fe
    La Fe is a small town located on Isla de la Juventud, an island municipality of Cuba.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dile a Él
Triple: [Don Omar, notableWork, Dile a Él]
Generated description
Dile a Él is a reggaeton song by Puerto Rican artist Don Omar, recognized as one of his early hits that helped establish his prominence in Latin urban music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dile a Él
Target entity description: Dile a Él is a reggaeton song by Puerto Rican artist Don Omar, recognized as one of his early hits that helped establish his prominence in Latin urban music.
  • A. The Salvation
    The Salvation is a 2014 Danish-directed Western film starring Mads Mikkelsen as a settler seeking revenge in the American frontier.
  • B. The Passion
    The Passion is a novel by Jeanette Winterson that blends historical fiction and magical realism to explore love, war, and obsession during the Napoleonic era.
  • C. El Corazón
    El Corazón is a critically acclaimed 1997 album by American singer-songwriter Steve Earle that blends rock, country, and folk influences.
  • D. Each in His Own Way
    Each in His Own Way is a 1924 metatheatrical play by Luigi Pirandello that explores the fluidity of identity and the blurred boundary between reality and illusion.
  • E. La Fe
    La Fe is a small town located on Isla de la Juventud, an island municipality of Cuba.
  • F. None of above. chosen

Provenance (5 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52730fd4481908b3f4eb80ca209f2 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e2f16788190bec54b250dad09a9 completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d9518517608190b5036694b83f5f58 completed April 10, 2026, 7:37 p.m.
Created at: April 6, 2026, 12:37 p.m.