Triple

T657491
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels E11679 entity
Predicate hasMayor P185 FINISHED
Object Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
E214910 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: Andreas Hügerich | Statement: [Lichtenfels, hasMayor, Andreas Hügerich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas Hügerich
Context triple: [Lichtenfels, hasMayor, Andreas Hügerich]
  • A. Jürgen Büscher
    Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
  • B. Lutz Zülicke
    Lutz Zülicke is a German physicist and academic best known for supervising Angela Merkel’s doctoral research in quantum chemistry.
  • C. Ewald Loeser
    Ewald Loeser was a German lawyer and industrial executive who served in senior positions at the Krupp conglomerate and was later prosecuted for his role in Nazi-era crimes during the post–World War II Krupp Trial.
  • D. Olaf Kölzig
    Olaf Kölzig is a former German-Canadian NHL goaltender best known for his long, standout career with the Washington Capitals, including winning the Vezina Trophy in 2000.
  • E. Jürgen Prochnow
    Jürgen Prochnow is a German actor best known internationally for his intense performances in films such as "Das Boot" and numerous Hollywood productions.
  • 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: Andreas Hügerich
Triple: [Lichtenfels, hasMayor, Andreas Hügerich]
Generated description
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andreas Hügerich
Target entity description: Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
  • A. Jürgen Büscher
    Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
  • B. Lutz Zülicke
    Lutz Zülicke is a German physicist and academic best known for supervising Angela Merkel’s doctoral research in quantum chemistry.
  • C. Ewald Loeser
    Ewald Loeser was a German lawyer and industrial executive who served in senior positions at the Krupp conglomerate and was later prosecuted for his role in Nazi-era crimes during the post–World War II Krupp Trial.
  • D. Olaf Kölzig
    Olaf Kölzig is a former German-Canadian NHL goaltender best known for his long, standout career with the Washington Capitals, including winning the Vezina Trophy in 2000.
  • E. Jürgen Prochnow
    Jürgen Prochnow is a German actor best known internationally for his intense performances in films such as "Das Boot" and numerous Hollywood productions.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf39f5694819086fcdbd27fa2ea4b completed March 8, 2026, 10:09 p.m.
NEDg Description generation batch_69adf471909881909de20d9d1fa0b372 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50b17a081909b93ad3e08c71772 completed March 8, 2026, 10:15 p.m.
Created at: March 1, 2026, 7:36 p.m.