Triple

T14551355
Position Surface form Disambiguated ID Type / Status
Subject Bitter E341424 entity
Predicate hasNotableBearer P458 FINISHED
Object Klaus Bitter
Klaus Bitter is a German Roman Catholic bishop known for his pastoral and theological work within the Catholic Church in Germany.
E1420699 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: Klaus Bitter | Statement: [Bitter, hasNotableBearer, Klaus Bitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaus Bitter
Context triple: [Bitter, hasNotableBearer, Klaus Bitter]
  • A. Klaus Märtens
    Klaus Märtens was a German doctor and inventor best known for creating the original air-cushioned boots that became the iconic Dr. Martens footwear brand.
  • B. Klaus Haller
    Klaus Haller is a relatively obscure individual whose name is notably recorded as a bearer of the surname Haller.
  • C. Klaus Fischer
    Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
  • D. Klaus Wolter
    Klaus Wolter is a climate scientist known for creating the Multivariate ENSO Index, a key tool for monitoring and analyzing El Niño–Southern Oscillation variability.
  • E. Klaus Kiessler
    Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
  • 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: Klaus Bitter
Triple: [Bitter, hasNotableBearer, Klaus Bitter]
Generated description
Klaus Bitter is a German Roman Catholic bishop known for his pastoral and theological work within the Catholic Church in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klaus Bitter
Target entity description: Klaus Bitter is a German Roman Catholic bishop known for his pastoral and theological work within the Catholic Church in Germany.
  • A. Klaus Märtens
    Klaus Märtens was a German doctor and inventor best known for creating the original air-cushioned boots that became the iconic Dr. Martens footwear brand.
  • B. Klaus Haller
    Klaus Haller is a relatively obscure individual whose name is notably recorded as a bearer of the surname Haller.
  • C. Klaus Fischer
    Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
  • D. Klaus Wolter
    Klaus Wolter is a climate scientist known for creating the Multivariate ENSO Index, a key tool for monitoring and analyzing El Niño–Southern Oscillation variability.
  • E. Klaus Kiessler
    Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08550a5c808190abe6e3cb98fd7967 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855c6bab08190831cc78647de84fc completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856da3e748190866c328a6c61b3d8 completed May 16, 2026, 11:36 a.m.
Created at: April 10, 2026, 1:23 a.m.