Triple

T22510325
Position Surface form Disambiguated ID Type / Status
Subject Chicago Boys E556500 entity
Predicate member P10 FINISHED
Object Alvaro Bardón 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: Alvaro Bardón | Statement: [Chicago Boys, member, Alvaro Bardón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvaro Bardón
Context triple: [Chicago Boys, member, Alvaro Bardón]
  • A. Álvaro Bardón chosen
    Álvaro Bardón was a Chilean economist and influential member of the "Chicago Boys" group who helped shape Chile’s free-market economic reforms during the Pinochet era.
  • B. Harvey Guillén
    Harvey Guillén is an American actor best known for his comedic role as Guillermo de la Cruz in the TV series "What We Do in the Shadows" and for his voice work in animated films.
  • C. Jonathan Salas
    Jonathan Salas is a musician best known for his brief tenure as a guitarist with the Christian rock band Skillet.
  • D. Vadhir Derbez
    Vadhir Derbez is a Mexican actor and singer known for his work in film, television, and music, and as part of the prominent Derbez entertainment family.
  • E. Raúl Esparza
    Raúl Esparza is an American actor and singer best known for his acclaimed work on Broadway and his role as ADA Rafael Barba on the television series "Law & Order: Special Victims Unit."
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5faf6c8190ba0513be9ae7d128 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.