Triple

T2952887
Position Surface form Disambiguated ID Type / Status
Subject Huber E79860 entity
Predicate hasNotableBearer P458 FINISHED
Object Markus Huber
Markus Huber is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Huber.
 E367092 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: Markus Huber | Statement: [Huber, hasNotableBearer, Markus Huber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Markus Huber
Context triple: [Huber, hasNotableBearer, Markus Huber]
  • A. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • B. Andreas Maurer
    Andreas Maurer was a mountaineer known for making the first recorded ascent of the Alpine peak Mont Maudit in the Mont Blanc massif.
  • C. Christoph Sauer
    Christoph Sauer was an 18th-century German-American printer and publisher known for producing one of the earliest German-language Bibles in North America.
  • D. Stephan Sauer
    Stephan Sauer is a notable individual who shares the surname Sauer and is recognized for achievements significant enough to be specifically referenced.
  • E. Christoph Dolle
    Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
  • 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: Markus Huber
Triple: [Huber, hasNotableBearer, Markus Huber]
Generated description
Markus Huber is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Huber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Markus Huber
Target entity description: Markus Huber is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Huber.
  • A. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • B. Andreas Maurer
    Andreas Maurer was a mountaineer known for making the first recorded ascent of the Alpine peak Mont Maudit in the Mont Blanc massif.
  • C. Christoph Sauer
    Christoph Sauer was an 18th-century German-American printer and publisher known for producing one of the earliest German-language Bibles in North America.
  • D. Stephan Sauer
    Stephan Sauer is a notable individual who shares the surname Sauer and is recognized for achievements significant enough to be specifically referenced.
  • E. Christoph Dolle
    Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38ba897188190bf3ee24cb8a7384f completed March 13, 2026, 3:59 a.m.
NEDg Description generation batch_69b38f66b82081908464647ac42a893c completed March 13, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69b38fdf85208190b7d4dec1521866f8 completed March 13, 2026, 4:17 a.m.
Created at: March 8, 2026, 2:57 p.m.