Triple

T4038485
Position Surface form Disambiguated ID Type / Status
Subject 9th Army E83884 entity
Predicate notableCommander P1197 FINISHED
Object Theodor Busse E658999 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 Busse | Statement: [9th Army, notableCommander, Theodor Busse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodor Busse
Context triple: [9th Army, notableCommander, Theodor Busse]
  • A. Theodor Busse chosen
    Theodor Busse was a German Wehrmacht general during World War II, best known for commanding the 9th Army in the final stages of the war on the Eastern Front.
  • B. Ernst Göhner
    Ernst Göhner was a prominent Swiss entrepreneur and industrialist known for building a major construction and real estate empire and for his significant philanthropic legacy.
  • C. Theodor Dorsten
    Theodor Dorsten was a 16th-century German physician and botanist known for his contributions to early modern plant taxonomy and herbal studies.
  • D. Fritz Jaenecke
    Fritz Jaenecke was a German architect best known for designing major sports venues, including the Ullevi Stadium in Gothenburg, Sweden.
  • E. Hans Wiegel
    Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb3656f08190aa5286d951013646 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d121b5cc1c819093109b22acacf98f completed April 4, 2026, 2:35 p.m.
Created at: March 9, 2026, 3:37 p.m.