Triple

T22095790
Position Surface form Disambiguated ID Type / Status
Subject Florinda Chico E546026 entity
Predicate name P16 FINISHED
Object Florinda Chico 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: Florinda Chico | Statement: [Florinda Chico, name, Florinda Chico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florinda Chico
Context triple: [Florinda Chico, name, Florinda Chico]
  • A. Florinda Chico chosen
    Florinda Chico was a Spanish character actress known for her prolific work in film and television, often playing comedic and supporting roles.
  • B. Paola Dominguín
    Paola Dominguín is a Spanish actress, model, and fashion designer from a prominent artistic family, known for her work in film and fashion as well as her high-profile lineage.
  • C. Maria Conchita Alonso
    Maria Conchita Alonso is a Cuban-Venezuelan actress and singer known for her work in both Latin American and Hollywood films and television.
  • D. Ana Cabrera
    Ana Cabrera is an American journalist and television news anchor best known for her work with CNN.
  • E. Concha Méndez
    Concha Méndez was a Spanish poet, playwright, and publisher associated with the avant-garde Generation of ’27, known for her innovative, feminist writing and cultural activism during the early 20th century.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e8f1f48190a5f1d9e96a6de688 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.