Triple

T8013416
Position Surface form Disambiguated ID Type / Status
Subject Penelope Alvarez E186550 entity
Predicate closeTo P350 FINISHED
Object Lydia Riera E717781 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: Lydia Riera | Statement: [Penelope Alvarez, closeTo, Lydia Riera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia Riera
Context triple: [Penelope Alvarez, closeTo, Lydia Riera]
  • A. Lydia Riera chosen
    Lydia Riera is a central character on the sitcom "One Day at a Time," known as Penelope Alvarez's devout, outspoken Cuban mother and the family's dramatic, loving matriarch.
  • B. Lydia Cacho
    Lydia Cacho is a Mexican investigative journalist, author, and human rights activist renowned for exposing organized crime, corruption, and sex trafficking despite facing severe threats and persecution.
  • C. Elena Alvarez
    Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
  • D. Elena Ruiz
    Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
  • E. Miriam Gómez
    Miriam Gómez is a Cuban actress and writer best known as the longtime partner and literary collaborator of novelist Guillermo Cabrera Infante.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33f9074c8190aeefc7f5283017e9 completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:19 p.m.