Triple

T13071200
Position Surface form Disambiguated ID Type / Status
Subject Hurwitz E329458 entity
Predicate hasNotableBearer P458 FINISHED
Object Johanna Hurwitz
Johanna Hurwitz is an American children's author known for her humorous and relatable chapter books that often depict everyday family and school life.
E1047537 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: Johanna Hurwitz | Statement: [Hurwitz, hasNotableBearer, Johanna Hurwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johanna Hurwitz
Context triple: [Hurwitz, hasNotableBearer, Johanna Hurwitz]
  • A. Johanna Altman
    Johanna Altman is known as the wife of former Major League Baseball pitcher and current broadcaster Ron Darling.
  • B. Johanna Reiss
    Johanna Reiss was the wife of Kaspar Anton Karl van Beethoven, the younger brother of composer Ludwig van Beethoven, and a central figure in the contentious custody battle over her son Karl.
  • C. Judith Hermann
    Judith Hermann is a contemporary German author known for her minimalist, atmospheric short stories that explore themes of alienation and modern urban life.
  • D. Elizabeth Hofmann
    Elizabeth Hofmann is known as the spouse of American glass artist and sculptor Dan Dailey.
  • E. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • 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: Johanna Hurwitz
Triple: [Hurwitz, hasNotableBearer, Johanna Hurwitz]
Generated description
Johanna Hurwitz is an American children's author known for her humorous and relatable chapter books that often depict everyday family and school life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johanna Hurwitz
Target entity description: Johanna Hurwitz is an American children's author known for her humorous and relatable chapter books that often depict everyday family and school life.
  • A. Johanna Altman
    Johanna Altman is known as the wife of former Major League Baseball pitcher and current broadcaster Ron Darling.
  • B. Johanna Reiss
    Johanna Reiss was the wife of Kaspar Anton Karl van Beethoven, the younger brother of composer Ludwig van Beethoven, and a central figure in the contentious custody battle over her son Karl.
  • C. Judith Hermann
    Judith Hermann is a contemporary German author known for her minimalist, atmospheric short stories that explore themes of alienation and modern urban life.
  • D. Elizabeth Hofmann
    Elizabeth Hofmann is known as the spouse of American glass artist and sculptor Dan Dailey.
  • E. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f7614fbe8c8190b4a32b129c64d6b0 completed May 3, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_69f761a9e7448190835cfff6a1ad6405 completed May 3, 2026, 2:54 p.m.
Created at: April 9, 2026, 9 p.m.