Triple

T10722102
Position Surface form Disambiguated ID Type / Status
Subject Horst Buchholz E252846 entity
Predicate givenName P17 FINISHED
Object Horst
Horst is a masculine German given name commonly used in German-speaking countries.
 E810544 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: Horst | Statement: [Horst Buchholz, givenName, Horst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Horst
Context triple: [Horst Buchholz, givenName, Horst]
  • A. 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.
  • B. Horst
    Horst is a tough, intimidating sous-chef in the animated film "Ratatouille," known for his mysterious and often contradictory criminal backstories.
  • C. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • E. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • 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: Horst
Triple: [Horst Buchholz, givenName, Horst]
Generated description
Horst is a masculine German given name commonly used in German-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Horst
Target entity description: Horst is a masculine German given name commonly used in German-speaking countries.
  • A. 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.
  • B. Horst chosen
    Horst is a tough, intimidating sous-chef in the animated film "Ratatouille," known for his mysterious and often contradictory criminal backstories.
  • C. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • E. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • F. None of above.

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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d43655081909b071100c96cb4f6 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb738f8488190837a675b82ce75aa completed April 12, 2026, 3:16 p.m.
NEDg Description generation batch_69dbbbe545748190b2bdbc3a75224eb0 completed April 12, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69dbc59b315081909362892f5b989d25 completed April 12, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:13 p.m.