Triple

T9123594
Position Surface form Disambiguated ID Type / Status
Subject Second Schröder cabinet E218917 entity
Predicate stateHead P15817 FINISHED
Object Johannes Rau E324116 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: Johannes Rau | Statement: [Second Schröder cabinet, stateHead, Johannes Rau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johannes Rau
Context triple: [Second Schröder cabinet, stateHead, Johannes Rau]
  • A. Johannes Rau chosen
    Johannes Rau was a German Social Democratic politician who served as President of Germany from 1999 to 2004 and previously as Minister-President of North Rhine-Westphalia.
  • B. Lothar de Maizière
    Lothar de Maizière was the last and only democratically elected prime minister of East Germany, overseeing the country’s transition toward reunification with West Germany in 1990.
  • C. Bernhard Scholz
    Bernhard Scholz is a German computer scientist known for his work in programming languages, logic programming, and the development of the Soufflé Datalog engine.
  • D. Georg Scholz
    Georg Scholz was a German painter associated with the New Objectivity movement, known for his socially critical, realist depictions of Weimar-era society.
  • E. Kurt Schröder
    Kurt Schröder was a German film composer known for scoring early 20th-century European films, including notable British historical dramas.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b5fa188190be6465e74cf26915 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0544f7be481908f247889363c0f32 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:17 p.m.