Triple

T2748417
Position Surface form Disambiguated ID Type / Status
Subject Helvering v. Bruun E60924 entity
Predicate respondent P2238 FINISHED
Object Bruun
Bruun is the individual taxpayer who served as the respondent in the U.S. Supreme Court tax case Helvering v. Bruun.
 E296199 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: Bruun | Statement: [Helvering v. Bruun, respondent, Bruun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bruun
Context triple: [Helvering v. Bruun, respondent, Bruun]
  • A. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • B. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • C. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • D. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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: Bruun
Triple: [Helvering v. Bruun, respondent, Bruun]
Generated description
Bruun is the individual taxpayer who served as the respondent in the U.S. Supreme Court tax case Helvering v. Bruun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bruun
Target entity description: Bruun is the individual taxpayer who served as the respondent in the U.S. Supreme Court tax case Helvering v. Bruun.
  • A. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • B. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • C. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • D. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb517a00819084fd8f8933a25212 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd341a88190ae0f5eb94a6fdc92 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbd8563248190af593099ecae84ee completed March 10, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69afbdb28a708190bbd4bc6632b8e137 completed March 10, 2026, 6:44 a.m.
Created at: March 6, 2026, 9:56 p.m.