Triple

T14743496
Position Surface form Disambiguated ID Type / Status
Subject Theodor Körner E346408 entity
Predicate name P16 FINISHED
Object Theodor Körner E346408 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: Theodor Körner | Statement: [Theodor Körner, name, Theodor Körner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodor Körner
Context triple: [Theodor Körner, name, Theodor Körner]
  • A. Theodor Körner chosen
    Theodor Körner was an Austrian politician who served as President of Austria in the early 1950s.
  • B. Friedrich Körner
    Friedrich Körner was a German Luftwaffe fighter ace during World War II, known for his numerous aerial victories on the Eastern Front.
  • C. Hermann Körner
    Hermann Körner was a notable individual who carried the German surname Körner, though specific widely known biographical details about him are not well documented.
  • D. Gustav Körner
    Gustav Körner was a 19th-century German-American politician, lawyer, and jurist who served as Lieutenant Governor of Illinois and was an influential figure in the early Republican Party.
  • E. Johann Karl Wilhelm Körner
    Johann Karl Wilhelm Körner was a German painter and lithographer of the 19th century, known for his portraits and contributions to early lithographic art.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7367a1c819081082cc355e385fa completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb93e94c8190beba605e26d4552c completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.