Triple

T9766306
Position Surface form Disambiguated ID Type / Status
Subject Josef Müller E237000 entity
Predicate familyName P18 FINISHED
Object Müller E35404 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: Müller | Statement: [Josef Müller, familyName, Müller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Müller
Context triple: [Josef Müller, familyName, Müller]
  • A. Müller chosen
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • B. Bamba Müller
    Bamba Müller was the German-Ethiopian wife of Maharaja Duleep Singh, the last Maharaja of the Sikh Empire, and mother of several of his children in exile in Britain.
  • C. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
  • D. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • E. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf965e88190b505ce160f77e9b7 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:25 p.m.