Triple

T2745974
Position Surface form Disambiguated ID Type / Status
Subject Kempner E60868 entity
Predicate hasVariant P455 FINISHED
Object Kämpner
Kämpner is a German-language surname, likely a variant of Kempner, borne by individuals of German or Central European origin.
 E294746 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: Kämpner | Statement: [Kempner, hasVariant, Kämpner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kämpner
Context triple: [Kempner, hasVariant, Kämpner]
  • A. Atleti
    Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
  • B. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • C. Waldi
    Waldi is the dachshund dog character that served as the first official Olympic mascot, created for the 1972 Summer Games in Munich.
  • D. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • E. Sperrle
    Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal 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: Kämpner
Triple: [Kempner, hasVariant, Kämpner]
Generated description
Kämpner is a German-language surname, likely a variant of Kempner, borne by individuals of German or Central European origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kämpner
Target entity description: Kämpner is a German-language surname, likely a variant of Kempner, borne by individuals of German or Central European origin.
  • A. Atleti
    Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
  • B. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • C. Waldi
    Waldi is the dachshund dog character that served as the first official Olympic mascot, created for the 1972 Summer Games in Munich.
  • D. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • E. Sperrle
    Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ed6bc8190876c1d188b97692b completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd0f3a08190bf33a937ae9749c7 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc477a648190a4b7b83f174ca948 completed March 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69afbcc460b88190986844c39165ef14 completed March 10, 2026, 6:40 a.m.
Created at: March 6, 2026, 9:56 p.m.