Triple

T20492973
Position Surface form Disambiguated ID Type / Status
Subject Cuando seas mía E502793 entity
Predicate castMember P1668 FINISHED
Object Anette Michel
Anette Michel is a Mexican actress and television host best known for her leading roles in telenovelas and her work on popular TV programs.
E1434782 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: Anette Michel | Statement: [Cuando seas mía, castMember, Anette Michel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anette Michel
Context triple: [Cuando seas mía, castMember, Anette Michel]
  • A. Anette Haellmigk
    Anette Haellmigk is a German cinematographer known for her acclaimed work on high-profile television series, including multiple episodes of Game of Thrones.
  • B. Anette Brifalk
    Anette Brifalk is known as the wife of Swedish politician and former Liberal Party leader Jan Björklund.
  • C. Anette Qviberg
    Anette Qviberg is a Swedish interior designer and fashion stylist best known for her long-term marriage to actor and martial artist Dolph Lundgren.
  • D. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • E. Petra Marklund
    Petra Marklund is a Swedish singer and television presenter best known internationally under her stage name September.
  • 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: Anette Michel
Triple: [Cuando seas mía, castMember, Anette Michel]
Generated description
Anette Michel is a Mexican actress and television host best known for her leading roles in telenovelas and her work on popular TV programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anette Michel
Target entity description: Anette Michel is a Mexican actress and television host best known for her leading roles in telenovelas and her work on popular TV programs.
  • A. Anette Haellmigk
    Anette Haellmigk is a German cinematographer known for her acclaimed work on high-profile television series, including multiple episodes of Game of Thrones.
  • B. Anette Brifalk
    Anette Brifalk is known as the wife of Swedish politician and former Liberal Party leader Jan Björklund.
  • C. Anette Qviberg
    Anette Qviberg is a Swedish interior designer and fashion stylist best known for her long-term marriage to actor and martial artist Dolph Lundgren.
  • D. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • E. Petra Marklund
    Petra Marklund is a Swedish singer and television presenter best known internationally under her stage name September.
  • 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_6a0893b8a86081908783a9b8cf2dc485 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08962f4e3881908df0bb55b6239c86 completed May 16, 2026, 4:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0896b417bc8190963b69f84ea0e3c8 completed May 16, 2026, 4:09 p.m.
Created at: April 16, 2026, 11:35 a.m.