Triple

T9084898
Position Surface form Disambiguated ID Type / Status
Subject Don Schollander E217726 entity
Predicate familyName P18 FINISHED
Object Schollander
Schollander is the surname of Don Schollander, an American swimmer renowned for winning multiple Olympic gold medals in the 1960s.
E776497 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: Schollander | Statement: [Don Schollander, familyName, Schollander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schollander
Context triple: [Don Schollander, familyName, Schollander]
  • A. Schiffhauer
    Schiffhauer is a surname, likely a variant of the German family name "Schiff."
  • B. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • C. Swanberg
    Swanberg is a surname most notably associated with American independent filmmaker and actor Joe Swanberg, a key figure in the mumblecore movement.
  • D. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • E. Stahlecker
    Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • 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: Schollander
Triple: [Don Schollander, familyName, Schollander]
Generated description
Schollander is the surname of Don Schollander, an American swimmer renowned for winning multiple Olympic gold medals in the 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schollander
Target entity description: Schollander is the surname of Don Schollander, an American swimmer renowned for winning multiple Olympic gold medals in the 1960s.
  • A. Schiffhauer
    Schiffhauer is a surname, likely a variant of the German family name "Schiff."
  • B. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • C. Swanberg
    Swanberg is a surname most notably associated with American independent filmmaker and actor Joe Swanberg, a key figure in the mumblecore movement.
  • D. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • E. Stahlecker
    Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960d0b008190b0e9e61fac45101d completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe38f0048190a9fb15e73d9bcd50 completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d0013cdc18819090ee4ec6f90dea07 completed April 3, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69d001d5d5908190914b0d71d0cac8c5 completed April 3, 2026, 6:07 p.m.
Created at: March 30, 2026, 7:13 p.m.