Triple

T11154188
Position Surface form Disambiguated ID Type / Status
Subject Emil Seidel E263862 entity
Predicate replacedBy P101 FINISHED
Object Gerhard Bading
Gerhard Bading was a Milwaukee politician who succeeded Emil Seidel as mayor in the early 20th century.
 E1084331 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: Gerhard Bading | Statement: [Emil Seidel, replacedBy, Gerhard Bading]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerhard Bading
Context triple: [Emil Seidel, replacedBy, Gerhard Bading]
  • A. Helmut Bennemann
    Helmut Bennemann was a German Luftwaffe fighter ace and officer during World War II who gained prominence for his leadership roles in frontline fighter units.
  • B. Gerhard H. Brandt
    Gerhard H. Brandt is a film producer best known for his work on the movie "Fedora."
  • C. Horst Böhme
    Horst Böhme was a high-ranking SS officer and Gestapo official in Nazi Germany involved in security and police operations during World War II.
  • D. Günter Wallraff
    Günter Wallraff is a German investigative journalist and writer renowned for his undercover reporting that exposes social injustices and labor abuses.
  • E. Hans-Jürgen von Cramon-Taubadel
    Hans-Jürgen von Cramon-Taubadel was a German Luftwaffe officer and fighter wing commander during World War II.
  • 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: Gerhard Bading
Triple: [Emil Seidel, replacedBy, Gerhard Bading]
Generated description
Gerhard Bading was a Milwaukee politician who succeeded Emil Seidel as mayor in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerhard Bading
Target entity description: Gerhard Bading was a Milwaukee politician who succeeded Emil Seidel as mayor in the early 20th century.
  • A. Helmut Bennemann
    Helmut Bennemann was a German Luftwaffe fighter ace and officer during World War II who gained prominence for his leadership roles in frontline fighter units.
  • B. Gerhard H. Brandt
    Gerhard H. Brandt is a film producer best known for his work on the movie "Fedora."
  • C. Horst Böhme
    Horst Böhme was a high-ranking SS officer and Gestapo official in Nazi Germany involved in security and police operations during World War II.
  • D. Günter Wallraff
    Günter Wallraff is a German investigative journalist and writer renowned for his undercover reporting that exposes social injustices and labor abuses.
  • E. Hans-Jürgen von Cramon-Taubadel
    Hans-Jürgen von Cramon-Taubadel was a German Luftwaffe officer and fighter wing commander during World War II.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e872ffbc8190b8a3bbd912115342 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7c93f048190a755addc0922064b completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd0698d8548190a0f79f1d34aae6fe completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd06efebf88190baee5f42b6da605b completed May 7, 2026, 9:41 p.m.
Created at: April 8, 2026, 9:28 p.m.