Triple

T2952862
Position Surface form Disambiguated ID Type / Status
Subject Huber E79860 entity
Predicate hasVariant P455 FINISHED
Object Hüber
Hüber is a variant spelling of the surname Huber, a common German family name.
 E315087 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: Hüber | Statement: [Huber, hasVariant, Hüber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hüber
Context triple: [Huber, hasVariant, Hüber]
  • A. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • B. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • C. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • D. Hohneck
    Hohneck is one of the highest peaks in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
  • E. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • 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: Hüber
Triple: [Huber, hasVariant, Hüber]
Generated description
Hüber is a variant spelling of the surname Huber, a common German family name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hüber
Target entity description: Hüber is a variant spelling of the surname Huber, a common German family name.
  • A. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • B. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • C. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • D. Hohneck
    Hohneck is one of the highest peaks in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
  • E. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • 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_69b0fc82d1248190869beffffc0bf956 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd25e07c819088b2b1bcef4cf54e completed March 11, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b100ecbee081908832ddec0efdc751 completed March 11, 2026, 5:43 a.m.
Created at: March 8, 2026, 2:57 p.m.