Triple

T1528934
Position Surface form Disambiguated ID Type / Status
Subject One Day at a Time (2017 TV series) E32396 entity
Predicate mainCharacter P1183 FINISHED
Object Lydia Riera E188409 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: [One Day at a Time (2017 TV series), mainCharacter, Lydia Riera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia Riera
Context triple: [One Day at a Time (2017 TV series), mainCharacter, Lydia Riera]
  • A. Elena Alvarez chosen
    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).
  • B. Elizabeth Avellán
    Elizabeth Avellán is a Venezuelan-American film producer known for co-founding Troublemaker Studios and producing many of Robert Rodriguez’s films.
  • C. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • D. Silvia Navarro
    Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
  • E. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb1dfd1a48190804ca5f0fb6f5985 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad719b6c988190a525539d1a29d8d4 completed March 8, 2026, 12:54 p.m.
Created at: March 4, 2026, 7:26 p.m.