Triple

T17736889
Position Surface form Disambiguated ID Type / Status
Subject Pilar Arcos E442742 entity
Predicate name P16 FINISHED
Object Pilar Arcos 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: Pilar Arcos | Statement: [Pilar Arcos, name, Pilar Arcos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilar Arcos
Context triple: [Pilar Arcos, name, Pilar Arcos]
  • A. 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.
  • B. Pilar García
    Pilar García was a high-ranking Cuban military and police officer who became notorious for his role in repressing opposition under Fulgencio Batista’s dictatorship.
  • C. Pilar Juncosa
    Pilar Juncosa was the wife of Catalan surrealist painter Joan Miró and a key supporter and manager of his artistic legacy.
  • D. Pilar Castro
    Pilar Castro is a Spanish actress known for her work in film, television, and theater.
  • E. Pilar Belzunce
    Pilar Belzunce was the wife of renowned Spanish Basque sculptor Eduardo Chillida and a central figure in his personal life and support system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478ec48988190a503f9aafeab6d23 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.