Triple

T13214667
Position Surface form Disambiguated ID Type / Status
Subject St. Bavo Church E314579 entity
Predicate organBuilder P3143 FINISHED
Object Christian Müller E487638 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: Christian Müller | Statement: [St. Bavo Church, organBuilder, Christian Müller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Müller
Context triple: [St. Bavo Church, organBuilder, Christian Müller]
  • A. Christian Müller chosen
    Christian Müller was an 18th-century German-Dutch organ builder renowned for constructing some of the most celebrated baroque pipe organs in the Netherlands.
  • B. Dieter Müller
    Dieter Müller is a former German footballer best known as a prolific striker for 1. FC Köln and West Germany in the 1970s.
  • C. Christian Kaufmann
    Christian Kaufmann was a renowned Swiss mountain guide and alpinist active in the late 19th and early 20th centuries, known for numerous first ascents in the Alps and beyond.
  • D. Olkmar Fichtner
    Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
  • E. Clemens Meyer
    Clemens Meyer is a scientist and co-author of the influential 2021 Nature paper by Jumper et al. that introduced the groundbreaking AlphaFold protein structure prediction system.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf28c9c819080d7b42d20f579d1 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7546b9ae081909f97fc4a06b8f927 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:18 p.m.