Triple

T10824528
Position Surface form Disambiguated ID Type / Status
Subject Leo Löwenthal E255460 entity
Predicate familyName P18 FINISHED
Object Löwenthal
Löwenthal is a German-language surname borne by several notable figures, including scholars, politicians, and artists.
 E46160 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: Löwenthal | Statement: [Leo Löwenthal, familyName, Löwenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Löwenthal
Context triple: [Leo Löwenthal, familyName, Löwenthal]
  • A. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • B. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • C. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • D. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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: Löwenthal
Triple: [Leo Löwenthal, familyName, Löwenthal]
Generated description
Löwenthal is a German-language surname borne by several notable figures, including scholars, politicians, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Löwenthal
Target entity description: Löwenthal is a German-language surname borne by several notable figures, including scholars, politicians, and artists.
  • A. Löwenthal chosen
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • B. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • C. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • D. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734cf7918819094d36ea208c80d12 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
NEDg Description generation batch_69de8e70da448190b80068fea047a88c completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de94dd45548190a88b5ab991756d12 completed April 14, 2026, 7:26 p.m.
Created at: April 8, 2026, 9:19 p.m.