Triple

T21405205
Position Surface form Disambiguated ID Type / Status
Subject And Just Like That... E528014 entity
Predicate castMember P1668 FINISHED
Object Sara Ramírez NE NERFINISHED

How this triple was built (3 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: Sara Ramírez | Statement: [And Just Like That..., castMember, Sara Ramírez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara Ramírez
Context triple: [And Just Like That..., castMember, Sara Ramírez]
  • A. Lana Parrilla
    Lana Parrilla is an American actress best known for her role as Regina Mills/The Evil Queen on the television series "Once Upon a Time."
  • B. Melonie Diaz
    Melonie Diaz is an American actress known for her work in independent films and television, including prominent roles in projects like "Fruitvale Station" and the "Charmed" reboot.
  • C. Elizabeth Rodriguez
    Elizabeth Rodriguez is an American actress known for her acclaimed stage work and prominent television roles, including her performance in the Broadway play "The Motherfucker with the Hat" and the series "Orange Is the New Black."
  • D. Aimee Garcia
    Aimee Garcia is an American actress best known for her television roles on shows like "Dexter" and "Lucifer," as well as her work in film and voice acting.
  • E. Candice Accola
    Candice Accola is an American actress and singer best known for her role as Caroline Forbes on the television series "The Vampire Diaries."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara Ramírez
Target entity description: Sara Ramírez is a Mexican American actor and singer best known for their Tony-winning Broadway work and their role as Dr. Callie Torres on Grey’s Anatomy.
  • A. Lana Parrilla
    Lana Parrilla is an American actress best known for her role as Regina Mills/The Evil Queen on the television series "Once Upon a Time."
  • B. Melonie Diaz
    Melonie Diaz is an American actress known for her work in independent films and television, including prominent roles in projects like "Fruitvale Station" and the "Charmed" reboot.
  • C. Elizabeth Rodriguez
    Elizabeth Rodriguez is an American actress known for her acclaimed stage work and prominent television roles, including her performance in the Broadway play "The Motherfucker with the Hat" and the series "Orange Is the New Black."
  • D. Aimee Garcia
    Aimee Garcia is an American actress best known for her television roles on shows like "Dexter" and "Lucifer," as well as her work in film and voice acting.
  • E. Candice Accola
    Candice Accola is an American actress and singer best known for her role as Caroline Forbes on the television series "The Vampire Diaries."
  • F. None of above. chosen

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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1aea22881909a0cc754e417fbf3 completed April 22, 2026, 11:31 a.m.
Created at: April 16, 2026, 5:31 p.m.