Triple

T29069676
Position Surface form Disambiguated ID Type / Status
Subject El Dúo de la Historia E735779 entity
Predicate hasPart P35 FINISHED
Object Juan Luis Morera Luna
Juan Luis Morera Luna, better known as Wisin, is a Puerto Rican reggaeton singer, rapper, and songwriter who gained fame as one half of the influential duo Wisin & Yandel.
E1950709 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: Juan Luis Morera Luna | Statement: [El Dúo de la Historia, hasPart, Juan Luis Morera Luna]
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: Juan Luis Morera Luna
Triple: [El Dúo de la Historia, hasPart, Juan Luis Morera Luna]
Generated description
Juan Luis Morera Luna, better known as Wisin, is a Puerto Rican reggaeton singer, rapper, and songwriter who gained fame as one half of the influential duo Wisin & Yandel.

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_69f077e9b0a48190bb79548279cb7f64 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f660f8a5e48190a50f94d4929a7fa2 completed May 2, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2958e2f1048190b8b7746cb959d54f completed June 10, 2026, 12:30 p.m.
NEDg Description generation batch_6a295a14ff9481909756485f202d3a58 completed June 10, 2026, 12:35 p.m.
NED2 Entity disambiguation (via description) batch_6a295a8606948190ad52f1240742a2ca completed June 10, 2026, 12:37 p.m.
Created at: April 28, 2026, 10:19 a.m.