Triple

T3583263
Position Surface form Disambiguated ID Type / Status
Subject Hannah Goslar E75849 entity
Predicate spouse P13 FINISHED
Object Walter Pick
Walter Pick was the husband of Holocaust survivor Hannah Goslar, who was known for her close childhood friendship with Anne Frank.
 E375124 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: Walter Pick | Statement: [Hannah Goslar, spouse, Walter Pick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walter Pick
Context triple: [Hannah Goslar, spouse, Walter Pick]
  • A. Walter Herz
    Walter Herz was a graphic artist best known for designing the official poster for the 1948 Summer Olympics in London.
  • B. Walter Scharf
    Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
  • C. Walter Bartel
    Walter Bartel was a German communist resistance fighter and politician who opposed the Nazi regime and later became a prominent figure in East Germany.
  • D. Walter Bergman
    Walter Bergman was a civil rights activist and educator best known for his involvement in the 1961 Freedom Rides challenging racial segregation in the American South.
  • E. Erwin Stoff
    Erwin Stoff is a Hollywood film producer and talent manager known for overseeing major studio projects and guiding the careers of high-profile actors.
  • 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: Walter Pick
Triple: [Hannah Goslar, spouse, Walter Pick]
Generated description
Walter Pick was the husband of Holocaust survivor Hannah Goslar, who was known for her close childhood friendship with Anne Frank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Walter Pick
Target entity description: Walter Pick was the husband of Holocaust survivor Hannah Goslar, who was known for her close childhood friendship with Anne Frank.
  • A. Walter Herz
    Walter Herz was a graphic artist best known for designing the official poster for the 1948 Summer Olympics in London.
  • B. Walter Scharf
    Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
  • C. Walter Bartel
    Walter Bartel was a German communist resistance fighter and politician who opposed the Nazi regime and later became a prominent figure in East Germany.
  • D. Walter Bergman
    Walter Bergman was a civil rights activist and educator best known for his involvement in the 1961 Freedom Rides challenging racial segregation in the American South.
  • E. Erwin Stoff
    Erwin Stoff is a Hollywood film producer and talent manager known for overseeing major studio projects and guiding the careers of high-profile actors.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc104846c81908b6fbde7061464b4 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44efa419481908f07a9367adc4e42 completed March 13, 2026, 5:52 p.m.
NEDg Description generation batch_69b4505350e4819085ef8cca532d9eda completed March 13, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69b450a915b081908889b4c5ea2d3024 completed March 13, 2026, 6 p.m.
Created at: March 8, 2026, 3:21 p.m.