Triple

T15880608
Position Surface form Disambiguated ID Type / Status
Subject Jacobo Árbenz E385065 entity
Predicate familyName P18 FINISHED
Object Árbenz E385065 NE FINISHED

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: Árbenz | Statement: [Jacobo Árbenz, familyName, Árbenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Árbenz
Context triple: [Jacobo Árbenz, familyName, Árbenz]
  • A. Jacobo Árbenz chosen
    Jacobo Árbenz was a Guatemalan military officer and progressive president (1951–1954) whose agrarian reforms and overthrow in a CIA-backed coup made him a central figure in Cold War-era Latin American politics.
  • B. Niceto Pérez
    Niceto Pérez is a municipality in eastern Cuba’s Guantánamo Province, known primarily for its rural communities and agricultural activities.
  • C. Marcos
    Marcos is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, that derives from the Latin name Marcus.
  • D. Marcos
    Marcos is a municipality in the province of Ilocos Norte in the Philippines, known for its agricultural economy and rural communities.
  • E. Faustino Espinoza Navarro
    Faustino Espinoza Navarro was a Peruvian cultural promoter and researcher known for restoring and staging traditional Inca ceremonies and customs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15600863c8190a2dbfd6d7ff495d7 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.