Triple

T1638151
Position Surface form Disambiguated ID Type / Status
Subject Müller E35404 entity
Predicate hasVariantSpelling P457 FINISHED
Object Mueller E35403 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: Mueller | Statement: [Müller, hasVariantSpelling, Mueller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mueller
Context triple: [Müller, hasVariantSpelling, Mueller]
  • A. Mueller chosen
    Mueller is a German-derived surname, often an alternative spelling of "Müller" or "Miller," commonly found in German-speaking and American contexts.
  • B. Robert Mueller
    Robert Mueller is an American lawyer and former Director of the Federal Bureau of Investigation who later served as Special Counsel overseeing the investigation into Russian interference in the 2016 U.S. presidential election.
  • C. Mullen
    Mullen is the surname of Larry Mullen Jr., the Irish drummer best known as a founding member of the rock band U2.
  • D. Michael Cohen
    Michael Cohen is an American attorney and former personal lawyer and fixer for Donald Trump who later became a key witness in investigations into Trump's business and political activities.
  • E. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a1ac46081909f10e793898a9911 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6815c4588190bccfbece8f22c1a1 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:28 p.m.