Triple

T3131340
Position Surface form Disambiguated ID Type / Status
Subject Hans-Hermann Hoppe E65419 entity
Predicate givenName P17 FINISHED
Object Hans-Hermann
Hans-Hermann is a masculine German given name, most notably borne by the economist and libertarian philosopher Hans-Hermann Hoppe.
 E360433 NE FINISHED

How this triple was built (4 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: Hans-Hermann | Statement: [Hans-Hermann Hoppe, givenName, Hans-Hermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hans-Hermann
Context triple: [Hans-Hermann Hoppe, givenName, Hans-Hermann]
  • A. Johann Hünnemann
    Johann Hünnemann was a person honored in botanical nomenclature as the namesake of the plant genus Hunnemannia.
  • B. Hans-Jürgen
    Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
  • C. Hans-Georg von Friedeburg
    Hans-Georg von Friedeburg was a German admiral who served as the last commander-in-chief of the Kriegsmarine during World War II and participated in Germany’s surrender negotiations in 1945.
  • D. Erhard Schmidt
    Erhard Schmidt was a German mathematician known for his foundational work in functional analysis and the theory of Hilbert spaces.
  • E. Karl Georg Hornschuch
    Karl Georg Hornschuch was a 19th-century German botanist and bryologist known for his significant contributions to the study and classification of mosses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hans-Hermann
Triple: [Hans-Hermann Hoppe, givenName, Hans-Hermann]
Generated description
Hans-Hermann is a masculine German given name, most notably borne by the economist and libertarian philosopher Hans-Hermann Hoppe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hans-Hermann
Target entity description: Hans-Hermann is a masculine German given name, most notably borne by the economist and libertarian philosopher Hans-Hermann Hoppe.
  • A. Johann Hünnemann
    Johann Hünnemann was a person honored in botanical nomenclature as the namesake of the plant genus Hunnemannia.
  • B. Hans-Jürgen
    Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
  • C. Hans-Georg von Friedeburg
    Hans-Georg von Friedeburg was a German admiral who served as the last commander-in-chief of the Kriegsmarine during World War II and participated in Germany’s surrender negotiations in 1945.
  • D. Erhard Schmidt
    Erhard Schmidt was a German mathematician known for his foundational work in functional analysis and the theory of Hilbert spaces.
  • E. Karl Georg Hornschuch
    Karl Georg Hornschuch was a 19th-century German botanist and bryologist known for his significant contributions to the study and classification of mosses.
  • F. None of above. chosen

Provenance (5 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367e5581081908c44bc8d9492c936 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368d21f7c819092660301b7d840db completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3694e92b8819082d54a56d901e9f8 completed March 13, 2026, 1:33 a.m.
Created at: March 8, 2026, 3:04 p.m.