Triple

T13233744
Position Surface form Disambiguated ID Type / Status
Subject Hueber E315086 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Huebner
Huebner is a German surname, often spelled Hüebner or Hübner, borne by various notable individuals in fields such as academia, politics, and the arts.
 E1029658 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: Huebner | Statement: [Hueber, hasAlternativeTransliteration, Huebner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huebner
Context triple: [Hueber, hasAlternativeTransliteration, Huebner]
  • A. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • B. Habel
    Habel is a small, uninhabited sand island in the North Frisian archipelago off the coast of Germany.
  • C. Heissler
    Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
  • D. Hosenfeld
    Hosenfeld is a German surname most notably associated with Wilm Hosenfeld, a Wehrmacht officer known for helping to save Jews during World War II.
  • E. Schwarzhuber
    Schwarzhuber is a German surname most notably associated with Johann Schwarzhuber, an SS officer and concentration camp official during World War II.
  • 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: Huebner
Triple: [Hueber, hasAlternativeTransliteration, Huebner]
Generated description
Huebner is a German surname, often spelled Hüebner or Hübner, borne by various notable individuals in fields such as academia, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huebner
Target entity description: Huebner is a German surname, often spelled Hüebner or Hübner, borne by various notable individuals in fields such as academia, politics, and the arts.
  • A. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • B. Habel
    Habel is a small, uninhabited sand island in the North Frisian archipelago off the coast of Germany.
  • C. Heissler
    Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
  • D. Hosenfeld
    Hosenfeld is a German surname most notably associated with Wilm Hosenfeld, a Wehrmacht officer known for helping to save Jews during World War II.
  • E. Schwarzhuber
    Schwarzhuber is a German surname most notably associated with Johann Schwarzhuber, an SS officer and concentration camp official during World War II.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d36bdf8819099949b1e0e6902d3 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2dca2c81909cab1aa868ad575d completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70476310c8190b13dc948c1f1ce95 completed May 3, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69f70578047c819089fc3044eceb4eac completed May 3, 2026, 8:21 a.m.
Created at: April 9, 2026, 9:22 p.m.