Triple

T11391835
Position Surface form Disambiguated ID Type / Status
Subject Jasta 11 E269859 entity
Predicate notableCommander P1197 FINISHED
Object Wilhelm Reinhard E1160297 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: Wilhelm Reinhard | Statement: [Jasta 11, notableCommander, Wilhelm Reinhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelm Reinhard
Context triple: [Jasta 11, notableCommander, Wilhelm Reinhard]
  • A. Wilhelm Reinhard chosen
    Wilhelm Reinhard was a German World War I fighter ace who briefly led the famed Jagdgeschwader 1 “Flying Circus” after the death of Manfred von Richthofen.
  • B. Wilhelm Schäfer
    Wilhelm Schäfer is a prominent computer scientist known for his influential contributions to software engineering research.
  • C. Heinrich Schmidt
    Heinrich Schmidt is a relatively common German personal name shared by multiple individuals across various professions and historical periods.
  • D. Heinrich Ewald
    Heinrich Ewald was a 19th-century German theologian and Orientalist renowned for his pioneering work in Hebrew grammar and Old Testament scholarship.
  • E. Ernst von Ihne
    Ernst von Ihne was a prominent German architect of the late 19th and early 20th centuries, known especially for his work on grand public and royal buildings in Berlin.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001796f48190822526f52e3f0337 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff7559f0448190a992f0770ac8227a completed May 9, 2026, 5:56 p.m.
Created at: April 8, 2026, 9:34 p.m.