Triple

T18783333
Position Surface form Disambiguated ID Type / Status
Subject Heinz von Foerster E459312 entity
Predicate influenced P9 FINISHED
Object Francisco Varela 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: Francisco Varela | Statement: [Heinz von Foerster, influenced, Francisco Varela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco Varela
Context triple: [Heinz von Foerster, influenced, Francisco Varela]
  • A. Francisco Varela chosen
    Francisco Varela was a Chilean biologist, neuroscientist, and philosopher known for his work on autopoiesis, cognitive science, and the enactive approach to consciousness.
  • B. José Enrique Varela
    José Enrique Varela was a Spanish Nationalist general and prominent military leader during the Spanish Civil War.
  • C. Enrique Luis Varela
    Enrique Luis Varela was a Cuban architect known for designing prominent public buildings in Havana, including major governmental structures.
  • D. José Ybarra-Jaegar
    José Ybarra-Jaegar is a minor character in Truman Capote’s novella "Breakfast at Tiffany’s," appearing within Holly Golightly’s New York social circle.
  • E. Dr. Manuel Artime
    Dr. Manuel Artime was a Cuban physician and prominent anti-Castro activist best known as a political leader of the CIA-backed Bay of Pigs invasion.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5977f34e48190a9932af330ea4f92 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.