Triple

T20492942
Position Surface form Disambiguated ID Type / Status
Subject Catalina y Sebastián E502792 entity
Predicate hasCastMember P2308 FINISHED
Object Alberto Mayagoitia NE NERFINISHED

How this triple was built (2 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: Alberto Mayagoitia | Statement: [Catalina y Sebastián, hasCastMember, Alberto Mayagoitia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alberto Mayagoitia
Context triple: [Catalina y Sebastián, hasCastMember, Alberto Mayagoitia]
  • A. Alberto Mayagoitia chosen
    Alberto Mayagoitia is a Mexican actor best known for his work in telenovelas and television comedy.
  • B. José Antonio Labordeta
    José Antonio Labordeta was a Spanish singer-songwriter, poet, teacher, television presenter, and left-wing politician from Aragón, known for his socially engaged songs and cultural activism.
  • C. Mariano Abasolo
    Mariano Abasolo was a Mexican insurgent leader and early supporter of Miguel Hidalgo who played a key role in the initial stages of the Mexican War of Independence.
  • D. Diego Aramburu
    Diego Aramburu is a notable individual recognized as a prominent bearer of the Aramburu surname.
  • E. Álvaro Molinero
    Álvaro Molinero is a person notable enough to be recognized as a prominent bearer of the surname Molinero.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 11:35 a.m.