Triple

T16175168
Position Surface form Disambiguated ID Type / Status
Subject Finnish White government E392543 entity
Predicate opposedBy P437 FINISHED
Object Red Guard E426064 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: Red Guard | Statement: [Finnish White government, opposedBy, Red Guard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Guard
Context triple: [Finnish White government, opposedBy, Red Guard]
  • A. Red Guards
    The Red Guards were radicalized youth groups in China who, inspired by Mao Zedong’s teachings, played a central and often violent role in the Cultural Revolution of the 1960s.
  • B. Red Guards
    The Red Guards were armed worker militias organized by the Bolsheviks that played a key role in seizing and consolidating power during the Russian Revolution of 1917.
  • C. Red Guards chosen
    The Red Guards were a socialist paramilitary force in Finland that fought on the side of the revolutionary Reds during the Finnish Civil War of 1918.
  • D. Worker-Peasant Red Guards
    The Worker-Peasant Red Guards are a North Korean civilian militia composed mainly of workers and farmers, organized to provide nationwide reserve military and ideological support to the state.
  • E. Under the Red Flag
    "Under the Red Flag" is a collection of short stories by Chinese-American author Ha Jin that portrays life in China during the Cultural Revolution with dark humor and stark realism.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21ebab54c81908d82dd6a26c406c2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bfc3ac819082596cc533c5faa4 completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.