Triple

T16778836
Position Surface form Disambiguated ID Type / Status
Subject Dan Burton E407800 entity
Predicate opposed P437 FINISHED
Object Cuban government under Fidel Castro E1888 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: Cuban government under Fidel Castro | Statement: [Dan Burton, opposed, Cuban government under Fidel Castro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuban government under Fidel Castro
Context triple: [Dan Burton, opposed, Cuban government under Fidel Castro]
  • A. Cuban government chosen
    The Cuban government is the centralized socialist state authority of the Republic of Cuba, overseeing its political, economic, and social systems under one-party rule.
  • B. Castro
    Castro is a prominent Cuban family name most famously associated with revolutionary leaders Fidel and Raúl Castro.
  • C. Castro
    Castro is a coastal town in Italy’s Apulia region, known for its historic hilltop center and scenic Adriatic Sea views.
  • D. Castro
    Castro was a popular Ghanaian hiplife and highlife musician known for his melodic collaborations and significant influence on contemporary Ghanaian music.
  • E. Castro
    Castro is a historic coastal city on Chiloé Island in southern Chile, known for its colorful stilt houses (palafitos) and UNESCO-listed wooden churches.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21401b881909bbbc7382e851a90 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab00cf708190a2562fa14d72a4df completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.