Triple

T8753577
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm von Leeb E208019 entity
Predicate familyName P18 FINISHED
Object von Leeb E208019 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: von Leeb | Statement: [Wilhelm von Leeb, familyName, von Leeb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Leeb
Context triple: [Wilhelm von Leeb, familyName, von Leeb]
  • A. von Leeb chosen
    Von Leeb is the surname of Wilhelm von Leeb, a German field marshal who served as a senior commander in the Wehrmacht during World War II.
  • B. Wolfgang Sattler
    Wolfgang Sattler is a notable individual who shares the surname Sattler, recognized enough to be specifically identified as a bearer of that name.
  • C. Lubart
    Lubart was a medieval Ruthenian prince of the Gediminid dynasty who ruled Volhynia and is notably associated with the construction and legacy of Lubart’s Castle in present-day Ukraine.
  • D. Hans Körner
    Hans Körner is a person notable enough to be recognized as a significant bearer of the surname Körner.
  • E. Johann Sturm
    Johann Sturm was a 16th-century German educator and humanist renowned for founding and directing the Strasbourg Gymnasium, a model Protestant school that influenced education across Europe.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd714dc8190bccc4d52f988958d completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43305664819085e762e42b138754 completed April 3, 2026, 4:33 a.m.
Created at: March 30, 2026, 6:39 p.m.