Triple
T18793084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neukirch: Algebraic Number Theory |
E459564
|
entity |
| Predicate | translator |
P5475
|
FINISHED |
| Object |
Kay Wingberg
Kay Wingberg is a mathematician known for translating Jürgen Neukirch’s influential textbook "Algebraic Number Theory" into English.
|
E1343165
|
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: Kay Wingberg | Statement: [Neukirch: Algebraic Number Theory, translator, Kay Wingberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Wingberg Context triple: [Neukirch: Algebraic Number Theory, translator, Kay Wingberg]
-
A.
Kai Wegner
Kai Wegner is a German politician from the Christian Democratic Union (CDU) who serves as the Governing Mayor of Berlin.
-
B.
Kent Vanderwood
Kent Vanderwood is an American local politician who serves as the mayor of Wyoming, Michigan.
-
C.
Eric Meyhofer
Eric Meyhofer is a technology executive best known for leading Uber’s self-driving car efforts as head of the Uber Advanced Technologies Group.
-
D.
Erik Barmack
Erik Barmack is a film and television producer and former Netflix executive known for developing and overseeing international original content.
-
E.
Jon Rysewyk
Jon Rysewyk is an American educator and administrator who leads the Knox County Schools district in Tennessee.
- 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: Kay Wingberg Triple: [Neukirch: Algebraic Number Theory, translator, Kay Wingberg]
Generated description
Kay Wingberg is a mathematician known for translating Jürgen Neukirch’s influential textbook "Algebraic Number Theory" into English.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kay Wingberg Target entity description: Kay Wingberg is a mathematician known for translating Jürgen Neukirch’s influential textbook "Algebraic Number Theory" into English.
-
A.
Kai Wegner
Kai Wegner is a German politician from the Christian Democratic Union (CDU) who serves as the Governing Mayor of Berlin.
-
B.
Kent Vanderwood
Kent Vanderwood is an American local politician who serves as the mayor of Wyoming, Michigan.
-
C.
Eric Meyhofer
Eric Meyhofer is a technology executive best known for leading Uber’s self-driving car efforts as head of the Uber Advanced Technologies Group.
-
D.
Erik Barmack
Erik Barmack is a film and television producer and former Netflix executive known for developing and overseeing international original content.
-
E.
Jon Rysewyk
Jon Rysewyk is an American educator and administrator who leads the Knox County Schools district in Tennessee.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59787e5988190883ed575ab4b6dec |
completed | April 20, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05472071b88190a74e18be8699f0c6 |
completed | May 14, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a054a44f0a8819089ebe23231d04ab8 |
completed | May 14, 2026, 4:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054ac3e8a88190981789df1790774e |
completed | May 14, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:53 a.m.