Triple
T604352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Bethe |
E11562
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Anna Kuhn
Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
|
E214899
|
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: Anna Kuhn | Statement: [Hans Bethe, mother, Anna Kuhn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Kuhn Context triple: [Hans Bethe, mother, Anna Kuhn]
-
A.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
B.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
C.
Anna Nolin
Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
-
D.
Karen Rosenfelt
Karen Rosenfelt is an American film producer known for her work on major studio franchises and popular young adult adaptations, including entries in the Twilight series.
-
E.
Katherine Vissering
Katherine Vissering, better known as Katherine Oppenheimer, was the American biologist and botanist who became the wife of physicist J. Robert Oppenheimer and was involved in the social circles surrounding the Manhattan Project.
- 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: Anna Kuhn Triple: [Hans Bethe, mother, Anna Kuhn]
Generated description
Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Kuhn Target entity description: Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
-
A.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
B.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
C.
Anna Nolin
Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
-
D.
Karen Rosenfelt
Karen Rosenfelt is an American film producer known for her work on major studio franchises and popular young adult adaptations, including entries in the Twilight series.
-
E.
Katherine Vissering
Katherine Vissering, better known as Katherine Oppenheimer, was the American biologist and botanist who became the wife of physicist J. Robert Oppenheimer and was involved in the social circles surrounding the Manhattan Project.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc67b248190b0bb195553f03be8 |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf39f5694819086fcdbd27fa2ea4b |
completed | March 8, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69adf471909881909de20d9d1fa0b372 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf50b17a081909b93ad3e08c71772 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 1, 2026, 7:35 p.m.