Triple

T8296133
Position Surface form Disambiguated ID Type / Status
Subject Claus-Johannes Voss E194221 entity
Predicate hasGivenName P17 FINISHED
Object Claus-Johannes
Claus-Johannes is a masculine given name of German origin, typically used as a compound first name.
 E723666 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: Claus-Johannes | Statement: [Claus-Johannes Voss, hasGivenName, Claus-Johannes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Claus-Johannes
Context triple: [Claus-Johannes Voss, hasGivenName, Claus-Johannes]
  • A. Claes
    Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
  • B. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • C. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • D. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • E. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • 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: Claus-Johannes
Triple: [Claus-Johannes Voss, hasGivenName, Claus-Johannes]
Generated description
Claus-Johannes is a masculine given name of German origin, typically used as a compound first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Claus-Johannes
Target entity description: Claus-Johannes is a masculine given name of German origin, typically used as a compound first name.
  • A. Claes
    Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
  • B. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • C. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • D. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • E. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df73d4c81909ad9cf0786eb5a20 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68ad2f248190a1de95c01ddee259 completed April 1, 2026, 6:49 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e3e2f848190a22ad8739bb8e298 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:53 p.m.