Triple

T22899303
Position Surface form Disambiguated ID Type / Status
Subject Inspector Sierra E568264 entity
Predicate fullName P16 FINISHED
Object Alicia Sierra 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: Alicia Sierra | Statement: [Inspector Sierra, fullName, Alicia Sierra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alicia Sierra
Context triple: [Inspector Sierra, fullName, Alicia Sierra]
  • A. Alicia Sierra chosen
    Alicia Sierra is a ruthless and cunning police inspector in the Spanish series "Money Heist," known for her relentless pursuit of the Professor and his gang.
  • B. Pilar Juncosa
    Pilar Juncosa was the wife of Catalan surrealist painter Joan Miró and a key supporter and manager of his artistic legacy.
  • C. Alicia Borrachero
    Alicia Borrachero is a Spanish actress known for her work in television, film, and theater, particularly in popular Spanish TV series.
  • D. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • E. Pilar Arcos
    Pilar Arcos was a Spanish-born singer and actress active in early 20th-century American cinema and radio, known for her roles in silent films and Spanish-language productions.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180155b1c8190a83eb6ec45387a1a completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.