Triple

T9406126
Position Surface form Disambiguated ID Type / Status
Subject Die Pfeffermühle E226591 entity
Predicate hasMember P10 FINISHED
Object Walter Mehring
Walter Mehring was a German-Jewish poet, satirist, and cabaret writer associated with the Weimar-era literary and political cabaret scene.
 E819390 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: Walter Mehring | Statement: [Die Pfeffermühle, hasMember, Walter Mehring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walter Mehring
Context triple: [Die Pfeffermühle, hasMember, Walter Mehring]
  • A. Theodor Mann
    Theodor Mann was a member of the Mann family, known primarily as the son of the Nobel Prize–winning German author Thomas Mann.
  • B. Hugo von Pohl
    Hugo von Pohl was a German admiral who served as a senior naval leader of the Imperial German Navy during World War I.
  • C. Heinrich Wolff
    Heinrich Wolff was a German architect best known for designing the main building of the Reichsbank, the central bank of Germany during the early 20th century.
  • D. Kurt Friedrichs
    Kurt Friedrichs was a German-American mathematician renowned for his foundational contributions to partial differential equations, applied mathematics, and mathematical physics.
  • E. Otto Josten
    Otto Josten was the founder of Jostens, the American company best known for producing class rings, yearbooks, and other school-related memorabilia.
  • 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: Walter Mehring
Triple: [Die Pfeffermühle, hasMember, Walter Mehring]
Generated description
Walter Mehring was a German-Jewish poet, satirist, and cabaret writer associated with the Weimar-era literary and political cabaret scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Walter Mehring
Target entity description: Walter Mehring was a German-Jewish poet, satirist, and cabaret writer associated with the Weimar-era literary and political cabaret scene.
  • A. Theodor Mann
    Theodor Mann was a member of the Mann family, known primarily as the son of the Nobel Prize–winning German author Thomas Mann.
  • B. Hugo von Pohl
    Hugo von Pohl was a German admiral who served as a senior naval leader of the Imperial German Navy during World War I.
  • C. Heinrich Wolff
    Heinrich Wolff was a German architect best known for designing the main building of the Reichsbank, the central bank of Germany during the early 20th century.
  • D. Kurt Friedrichs
    Kurt Friedrichs was a German-American mathematician renowned for his foundational contributions to partial differential equations, applied mathematics, and mathematical physics.
  • E. Otto Josten
    Otto Josten was the founder of Jostens, the American company best known for producing class rings, yearbooks, and other school-related memorabilia.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c2b9bc81909a4ce91792294d1c completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bca63c3c819084aec1c0bb962ffe completed April 5, 2026, 1:36 a.m.
NEDg Description generation batch_69d1bd42e3888190b13970710a9620d7 completed April 5, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69d1bdd5ec94819083edd1cb2c9598a0 completed April 5, 2026, 1:41 a.m.
Created at: March 30, 2026, 7:47 p.m.