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.