Triple

T15732339
Position Surface form Disambiguated ID Type / Status
Subject Ernst Jünger E381374 entity
Predicate familyName P18 FINISHED
Object Jünger
Jünger is a German surname most prominently associated with Ernst Jünger, a 20th-century writer and soldier known for his works on war and modernity.
 E1174519 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: Jünger | Statement: [Ernst Jünger, familyName, Jünger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jünger
Context triple: [Ernst Jünger, familyName, Jünger]
  • A. Junker
    Junker is a historical noble title, particularly associated with the lower-ranking landed aristocracy in German-speaking regions, including parts of Switzerland.
  • B. Jürgens
    Jürgens is a German surname most notably associated with the Austrian-German actor Curt Jürgens.
  • C. Jungmann
    Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
  • D. Klostermann
    Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
  • E. Jodelet
    Jodelet is a comic servant character in Molière’s play *Les Précieuses ridicules*, known for his rustic manners and humorous contrast with the pretentious protagonists.
  • 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: Jünger
Triple: [Ernst Jünger, familyName, Jünger]
Generated description
Jünger is a German surname most prominently associated with Ernst Jünger, a 20th-century writer and soldier known for his works on war and modernity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jünger
Target entity description: Jünger is a German surname most prominently associated with Ernst Jünger, a 20th-century writer and soldier known for his works on war and modernity.
  • A. Junker
    Junker is a historical noble title, particularly associated with the lower-ranking landed aristocracy in German-speaking regions, including parts of Switzerland.
  • B. Jürgens
    Jürgens is a German surname most notably associated with the Austrian-German actor Curt Jürgens.
  • C. Jungmann
    Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
  • D. Klostermann
    Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
  • E. Jodelet
    Jodelet is a comic servant character in Molière’s play *Les Précieuses ridicules*, known for his rustic manners and humorous contrast with the pretentious protagonists.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fed7888190b45f28ac91e0079e completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.