Triple

T17305967
Position Surface form Disambiguated ID Type / Status
Subject Kate del Castillo E420164 entity
Predicate sibling P363 FINISHED
Object Verónica del Castillo
Verónica del Castillo is a Mexican journalist and television host, known both for her media work and as the sister of actress Kate del Castillo.
E1335516 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: Verónica del Castillo | Statement: [Kate del Castillo, sibling, Verónica del Castillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verónica del Castillo
Context triple: [Kate del Castillo, sibling, Verónica del Castillo]
  • A. Verónica Loza
    Verónica Loza is a Uruguayan visual artist and performer best known for her multimedia and live visual work with the electronic tango collective Bajofondo.
  • B. Maricruz Nájera
    Maricruz Nájera is a Mexican actress known for her extensive work in film, television, and theater, and as part of a prominent acting family.
  • C. Mónica Naranjo
    Mónica Naranjo is a Spanish singer and songwriter known for her powerful vocal range and influential pop and dance music career since the 1990s.
  • D. María Romo
    María Romo is a Spanish actress known for her work in film and television.
  • E. María Valenzuela
    María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
  • 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: Verónica del Castillo
Triple: [Kate del Castillo, sibling, Verónica del Castillo]
Generated description
Verónica del Castillo is a Mexican journalist and television host, known both for her media work and as the sister of actress Kate del Castillo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Verónica del Castillo
Target entity description: Verónica del Castillo is a Mexican journalist and television host, known both for her media work and as the sister of actress Kate del Castillo.
  • A. Verónica Loza
    Verónica Loza is a Uruguayan visual artist and performer best known for her multimedia and live visual work with the electronic tango collective Bajofondo.
  • B. Maricruz Nájera
    Maricruz Nájera is a Mexican actress known for her extensive work in film, television, and theater, and as part of a prominent acting family.
  • C. Mónica Naranjo
    Mónica Naranjo is a Spanish singer and songwriter known for her powerful vocal range and influential pop and dance music career since the 1990s.
  • D. María Romo
    María Romo is a Spanish actress known for her work in film and television.
  • E. María Valenzuela
    María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a051701512c819080be8649f1f1b401 completed May 14, 2026, 12:27 a.m.
NEDg Description generation batch_6a05184e0cc881909aad820f5afc34be completed May 14, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_6a05189feab08190ad33ec2f5711fecb completed May 14, 2026, 12:34 a.m.
Created at: April 10, 2026, 5:43 a.m.