Triple

T9683640
Position Surface form Disambiguated ID Type / Status
Subject Christian Leumann E234349 entity
Predicate familyName P18 FINISHED
Object Leumann
Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
 E815251 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: Leumann | Statement: [Christian Leumann, familyName, Leumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leumann
Context triple: [Christian Leumann, familyName, Leumann]
  • A. Mennekes
    Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
  • B. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Leister
    Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
  • D. Hyntone
    Hyntone is a variant or alternative form of the name Hinton, typically used as a surname or place name.
  • E. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • 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: Leumann
Triple: [Christian Leumann, familyName, Leumann]
Generated description
Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leumann
Target entity description: Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
  • A. Mennekes
    Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
  • B. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Leister
    Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
  • D. Hyntone
    Hyntone is a variant or alternative form of the name Hinton, typically used as a surname or place name.
  • E. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccf21a08190a1302b933b9e50be completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19106e67881909505287620d2f781 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19375fd8481909620e8e68d73ec17 completed April 4, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.