Triple

T20493067
Position Surface form Disambiguated ID Type / Status
Subject Mañana es para siempre E502796 entity
Predicate starring P1507 FINISHED
Object Marisol del Olmo
Marisol del Olmo is a Mexican television actress best known for her roles in popular telenovelas.
 E1446445 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: Marisol del Olmo | Statement: [Mañana es para siempre, starring, Marisol del Olmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marisol del Olmo
Context triple: [Mañana es para siempre, starring, Marisol del Olmo]
  • A. Inés García
    Inés García was the wife of Mexican general and politician Antonio López de Santa Anna, associated with his personal and political life during 19th-century Mexico.
  • B. Rosana Pastor
    Rosana Pastor is a Spanish actress and politician best known internationally for her role in Ken Loach’s film "Land and Freedom."
  • C. María Moreno
    María Moreno is a Spanish painter known for her realist style and as the wife of renowned artist Antonio López García.
  • D. Carmen Calvo
    Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
  • E. María Belón
    María Belón is a Spanish physician and survivor of the 2004 Indian Ocean tsunami whose real-life experience inspired the film "The Impossible."
  • 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: Marisol del Olmo
Triple: [Mañana es para siempre, starring, Marisol del Olmo]
Generated description
Marisol del Olmo is a Mexican television actress best known for her roles in popular telenovelas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marisol del Olmo
Target entity description: Marisol del Olmo is a Mexican television actress best known for her roles in popular telenovelas.
  • A. Inés García
    Inés García was the wife of Mexican general and politician Antonio López de Santa Anna, associated with his personal and political life during 19th-century Mexico.
  • B. Rosana Pastor
    Rosana Pastor is a Spanish actress and politician best known internationally for her role in Ken Loach’s film "Land and Freedom."
  • C. María Moreno
    María Moreno is a Spanish painter known for her realist style and as the wife of renowned artist Antonio López García.
  • D. Carmen Calvo
    Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
  • E. María Belón
    María Belón is a Spanish physician and survivor of the 2004 Indian Ocean tsunami whose real-life experience inspired the film "The Impossible."
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e03b053c81909623e9493dfc30a3 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e0d409d48190bca2fb8c60b8ce08 completed May 16, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08e164ef8c8190b482f2cc0f43acce completed May 16, 2026, 9:28 p.m.
Created at: April 16, 2026, 11:35 a.m.