Triple

T2292687
Position Surface form Disambiguated ID Type / Status
Subject J. C. Leyendecker E51539 entity
Predicate commissionedBy P27 FINISHED
Object Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
 E254451 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: Kuppenheimer | Statement: [J. C. Leyendecker, commissionedBy, Kuppenheimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuppenheimer
Context triple: [J. C. Leyendecker, commissionedBy, Kuppenheimer]
  • A. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • B. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • C. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • D. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • E. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, 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: Kuppenheimer
Triple: [J. C. Leyendecker, commissionedBy, Kuppenheimer]
Generated description
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuppenheimer
Target entity description: Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • A. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • B. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • C. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • D. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • E. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b50df481908a3d8f71d245e8fa completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f23ca34819091d2bb0d41613b4a completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae82aa6d7c81909cb770ea2be10b2a completed March 9, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae837e392c8190baa7552ce8c14995 completed March 9, 2026, 8:23 a.m.
Created at: March 4, 2026, 7:48 p.m.