Triple

T9293166
Position Surface form Disambiguated ID Type / Status
Subject Los Olvidados E223570 entity
Predicate castMember P1668 FINISHED
Object Margarita Isabel E71703 NE FINISHED

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: Margarita Isabel | Statement: [Los Olvidados, castMember, Margarita Isabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margarita Isabel
Context triple: [Los Olvidados, castMember, Margarita Isabel]
  • A. Margarita Isabel chosen
    Margarita Isabel was a Mexican actress known for her work in film, television, and theater.
  • B. Leonor Varela
    Leonor Varela is a Chilean actress and model best known internationally for her roles in films such as "Blade II" and the TV miniseries "Cleopatra."
  • C. Maria Cerezo
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • D. María Mercedes
    María Mercedes is a popular 1990s Mexican telenovela starring Thalía as a poor young woman whose life changes dramatically after an unexpected inheritance.
  • E. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0898b3288190a627a58bfd9c57fe completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d100c0af508190bc2a7eaec78cef95 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 7:35 p.m.