Triple

T19736405
Position Surface form Disambiguated ID Type / Status
Subject Uwe Johnson E473994 entity
Predicate movement P81 FINISHED
Object Gruppe 47 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: Gruppe 47 | Statement: [Uwe Johnson, movement, Gruppe 47]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gruppe 47
Context triple: [Uwe Johnson, movement, Gruppe 47]
  • A. Gruppe 47 chosen
    Gruppe 47 was an influential postwar German literary group that fostered many prominent writers and helped shape the development of modern German literature.
  • B. Gutai group
    The Gutai group was a pioneering postwar Japanese avant-garde art collective known for its radical, experimental performances and abstract works that emphasized materiality and physical action.
  • C. Bunko-dō literary circle
    The Bunko-dō literary circle was an early 20th-century Japanese literary group associated with pioneering poet Yosano Akiko and the development of modern tanka and progressive literary thought.
  • D. Kumagai Gumi
    Kumagai Gumi is a major Japanese construction and civil engineering company known for undertaking large-scale infrastructure projects worldwide.
  • E. Manyo Club group
    Manyo Club group is a Japanese company that operates a chain of large-scale hot spring and relaxation facilities across Japan.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515ddea881909ea831b7bc16d934 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.