Triple

T8960355
Position Surface form Disambiguated ID Type / Status
Subject Paola Núñez E213984 entity
Predicate notableWork P4 FINISHED
Object Pasión Morena
Pasión Morena is a Mexican telenovela known for its romantic drama and the prominent role played by actress Paola Núñez.
E770370 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: Pasión Morena | Statement: [Paola Núñez, notableWork, Pasión Morena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasión Morena
Context triple: [Paola Núñez, notableWork, Pasión Morena]
  • A. Vaina Loca
    "Vaina Loca" is a popular Latin urban song best known in its hit version by Ozuna and Manuel Turizo, blending reggaeton and romantic lyrics.
  • B. Las Rosas
    Las Rosas is a Madrid Metro station serving the Las Rosas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
  • C. Las Rosas
    Las Rosas is a settlement located within the municipality of El Rosario, likely a small town or village in a Spanish-speaking region.
  • D. Brazo Blest
    Brazo Blest is a scenic western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its lush forests, waterfalls, and access to the Andes near the Chilean border.
  • E. El Mal Querer
    El Mal Querer is Rosalía’s critically acclaimed 2018 concept album that blends flamenco traditions with contemporary pop and urban production.
  • 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: Pasión Morena
Triple: [Paola Núñez, notableWork, Pasión Morena]
Generated description
Pasión Morena is a Mexican telenovela known for its romantic drama and the prominent role played by actress Paola Núñez.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pasión Morena
Target entity description: Pasión Morena is a Mexican telenovela known for its romantic drama and the prominent role played by actress Paola Núñez.
  • A. Vaina Loca
    "Vaina Loca" is a popular Latin urban song best known in its hit version by Ozuna and Manuel Turizo, blending reggaeton and romantic lyrics.
  • B. Las Rosas
    Las Rosas is a Madrid Metro station serving the Las Rosas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
  • C. Las Rosas
    Las Rosas is a settlement located within the municipality of El Rosario, likely a small town or village in a Spanish-speaking region.
  • D. Brazo Blest
    Brazo Blest is a scenic western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its lush forests, waterfalls, and access to the Andes near the Chilean border.
  • E. El Mal Querer
    El Mal Querer is Rosalía’s critically acclaimed 2018 concept album that blends flamenco traditions with contemporary pop and urban production.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6746fbf88190aba658b4b9c2e4b0 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94ab868819080ff3fc7532a3874 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcd33936c8190bcbb0861e330b895 completed April 3, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69cfcdd61ff8819097ca9662aa42cb4a completed April 3, 2026, 2:25 p.m.
Created at: March 30, 2026, 7 p.m.