Triple

T21012743
Position Surface form Disambiguated ID Type / Status
Subject Lydia Riera E517590 entity
Predicate child P120 FINISHED
Object Penelope Alvarez 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: Penelope Alvarez | Statement: [Lydia Riera, child, Penelope Alvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penelope Alvarez
Context triple: [Lydia Riera, child, Penelope Alvarez]
  • A. Penelope Alvarez chosen
    Penelope Alvarez is the Cuban-American single mother and military veteran at the heart of the 2017 reboot of "One Day at a Time," navigating family life, mental health, and cultural identity with humor and resilience.
  • B. Elena Márquez
    Elena Márquez is Dora’s adventurous and resourceful mother in the live-action film "Dora and the Lost City of Gold."
  • C. Dora Márquez
    Dora Márquez is the adventurous, bilingual Latina girl who stars in the children's franchise "Dora the Explorer" and its live-action film adaptation.
  • D. Mercedes Cruz
    Mercedes Cruz is a fictional character from the television drama series "Lone Star."
  • E. Hilda Suarez
    Hilda Suarez is a confident, stylish, and outspoken single mother who runs her own beauty business and serves as Betty Suarez’s supportive older sister in the TV series "Ugly Betty."
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc41d57881908b9ab17d1844a8d0 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.