Triple

T20022420
Position Surface form Disambiguated ID Type / Status
Subject Duke John Albert of Mecklenburg E494896 entity
Predicate middleName P143 FINISHED
Object Albrecht NE NERFINISHED

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: Albrecht | Statement: [Duke John Albert of Mecklenburg, middleName, Albrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albrecht
Context triple: [Duke John Albert of Mecklenburg, middleName, Albrecht]
  • A. Albrecht chosen
    Albrecht is a Germanic given name, historically borne by various nobles, artists, and scholars in German-speaking Europe.
  • B. Albrecht Joseph
    Albrecht Joseph was a German-born screenwriter and film editor who worked in both European and American cinema, particularly in Hollywood after emigrating from Nazi Germany.
  • C. Albrecht von Säbisch
    Albrecht von Säbisch was a 17th-century Silesian architect best known for designing the Protestant Church of Peace in Jawor, now a UNESCO World Heritage Site in Poland.
  • D. Albrecht der Bär
    Albrecht der Bär was a 12th-century German margrave and the first ruler of the Margraviate of Brandenburg, known for expanding German influence eastward into Slavic territories.
  • E. Albrecht Schuch
    Albrecht Schuch is a German actor known for his acclaimed performances in film and television, including a prominent role in the 2022 adaptation of "All Quiet on the Western Front."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.