Triple

T1812401
Position Surface form Disambiguated ID Type / Status
Subject Ozuna E40358 entity
Predicate notableSingle P3283 FINISHED
Object La Modelo
"La Modelo" is a popular reggaeton and Latin trap song by Puerto Rican artist Ozuna, known for its smooth blend of urban and Caribbean rhythms.
 E200813 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: La Modelo | Statement: [Ozuna, notableSingle, La Modelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Modelo
Context triple: [Ozuna, notableSingle, La Modelo]
  • A. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • B. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • C. Paloma
    Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
  • D. Marilyn
    A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
  • E. Gloria
    Gloria is an American sitcom centered on Gloria Stivic, the daughter from "All in the Family," as she navigates life as a single mother.
  • 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: La Modelo
Triple: [Ozuna, notableSingle, La Modelo]
Generated description
"La Modelo" is a popular reggaeton and Latin trap song by Puerto Rican artist Ozuna, known for its smooth blend of urban and Caribbean rhythms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Modelo
Target entity description: "La Modelo" is a popular reggaeton and Latin trap song by Puerto Rican artist Ozuna, known for its smooth blend of urban and Caribbean rhythms.
  • A. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • B. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • C. Paloma
    Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
  • D. Marilyn
    A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
  • E. Gloria
    Gloria is an American sitcom centered on Gloria Stivic, the daughter from "All in the Family," as she navigates life as a single mother.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e5142c8190bc90da38b02e95e2 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69d10188190b78bece656249ecd completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8c122e881908f0640edc5aaf305 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.