Triple

T15017829
Position Surface form Disambiguated ID Type / Status
Subject Lyonel Feininger E378001 entity
Predicate nationality P2 FINISHED
Object German-American E1708 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: German-American | Statement: [Lyonel Feininger, nationality, German-American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German-American
Context triple: [Lyonel Feininger, nationality, German-American]
  • A. German Americans chosen
    German Americans are U.S. residents of German ancestry, one of the country’s largest and historically most influential ethnic groups, with deep cultural, political, and economic contributions to American society.
  • B. Germann
    Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
  • C. Germanfest
    Germanfest is an annual German heritage and cultural festival held in Muenster, Texas, featuring traditional food, music, and celebrations.
  • D. Germans
    Germans are a Central European ethnic group primarily associated with Germany, characterized by the German language and a shared cultural and historical heritage.
  • E. European American
    European Americans are U.S. residents whose ancestry traces primarily to the various peoples and nations of Europe.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7633fcc8190b2231f43252bc46f completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96ae110c8190a0555590b9ddb36a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.