Triple

T2761770
Position Surface form Disambiguated ID Type / Status
Subject Helvering v. Horst E61236 entity
Predicate respondent P2238 FINISHED
Object 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.
 E296551 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: [Helvering v. Horst, respondent, Horst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Horst
Context triple: [Helvering v. Horst, respondent, Horst]
  • A. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • B. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • C. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • D. Osthoff
    Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
  • E. Hauke
    Hauke is a Germanic given name, particularly common in Northern Germany, that is cognate with the English name Hugh.
  • 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: [Helvering v. Horst, respondent, Horst]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Horst
Target entity description: 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.
  • A. Erasbach
    Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
  • B. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • C. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • D. Osthoff
    Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
  • E. Hauke
    Hauke is a Germanic given name, particularly common in Northern Germany, that is cognate with the English name Hugh.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5072548190946f037c38aabb02 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04365448190b37e5ed16c16d650 completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc0b6368081908e2520ac6680a409 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc145e61881908c0eeae455b02a78 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.