Triple

T2827198
Position Surface form Disambiguated ID Type / Status
Subject Gerhard E54950 entity
Predicate hasNotableBearers P458 FINISHED
Object Gerhard Schröder E6717 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: Gerhard Schröder | Statement: [Gerhard, hasNotableBearers, Gerhard Schröder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerhard Schröder
Context triple: [Gerhard, hasNotableBearers, Gerhard Schröder]
  • A. Gerhard Schröder chosen
    Gerhard Schröder is a German Social Democratic politician who served as Chancellor of Germany from 1998 to 2005.
  • 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. Angela Merkel
    Angela Merkel is a German politician who served as Chancellor of Germany from 2005 to 2021 and became one of the most influential leaders in Europe and the world.
  • E. Helmut Kohl
    Helmut Kohl was a long-serving German chancellor best known for overseeing German reunification and shaping the early course of the European Union.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb20c508190ba87e102ba250a00 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.