Triple

T20493113
Position Surface form Disambiguated ID Type / Status
Subject Cuando me enamoro E502797 entity
Predicate castMember P1668 FINISHED
Object Lourdes Munguía
Lourdes Munguía is a Mexican actress known for her extensive work in telenovelas and film since the late 1970s.
 E1494204 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: Lourdes Munguía | Statement: [Cuando me enamoro, castMember, Lourdes Munguía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lourdes Munguía
Context triple: [Cuando me enamoro, castMember, Lourdes Munguía]
  • A. Sofia Huerta
    Sofia Huerta is a professional American soccer player and United States women’s national team defender known for her versatility and attacking contributions from the back line.
  • B. Yolanda Magaña
    Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
  • C. Sofia Arreguin
    Sofia Arreguin is a member of the creative collective or group known as Wand.
  • D. Marta Ornelas
    Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
  • E. Silvia Lemus
    Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
  • 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: Lourdes Munguía
Triple: [Cuando me enamoro, castMember, Lourdes Munguía]
Generated description
Lourdes Munguía is a Mexican actress known for her extensive work in telenovelas and film since the late 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lourdes Munguía
Target entity description: Lourdes Munguía is a Mexican actress known for her extensive work in telenovelas and film since the late 1970s.
  • A. Sofia Huerta
    Sofia Huerta is a professional American soccer player and United States women’s national team defender known for her versatility and attacking contributions from the back line.
  • B. Yolanda Magaña
    Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
  • C. Sofia Arreguin
    Sofia Arreguin is a member of the creative collective or group known as Wand.
  • D. Marta Ornelas
    Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
  • E. Silvia Lemus
    Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
  • 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_6a0a0f7a2ba0819086919b4369d8177e completed May 17, 2026, 6:56 p.m.
NEDg Description generation batch_6a0a1121d7d08190b77e3701044aed3f completed May 17, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0a11698c2481908a8b86038b00ac07 completed May 17, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:35 a.m.