Triple
T2797863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miroslav Klose |
E53080
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sylwia Klose
Sylwia Klose is the wife of former German international footballer Miroslav Klose and is known for maintaining a largely private life away from the public spotlight.
|
E298359
|
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: Sylwia Klose | Statement: [Miroslav Klose, spouse, Sylwia Klose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylwia Klose Context triple: [Miroslav Klose, spouse, Sylwia Klose]
-
A.
Franziska Matzelsberger
Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
-
B.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
C.
Maike Kohl-Richter
Maike Kohl-Richter is a German academic and lawyer best known as the second wife and widow of former Chancellor Helmut Kohl.
-
D.
Christiane Herzog
Christiane Herzog was a German First Lady and philanthropist known for her social engagement, particularly in support of cystic fibrosis patients, during and after her husband Roman Herzog’s presidency.
-
E.
Marta Kwiatkowska
Marta Kwiatkowska is a prominent computer scientist known for her contributions to probabilistic model checking and formal verification.
- 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: Sylwia Klose Triple: [Miroslav Klose, spouse, Sylwia Klose]
Generated description
Sylwia Klose is the wife of former German international footballer Miroslav Klose and is known for maintaining a largely private life away from the public spotlight.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sylwia Klose Target entity description: Sylwia Klose is the wife of former German international footballer Miroslav Klose and is known for maintaining a largely private life away from the public spotlight.
-
A.
Franziska Matzelsberger
Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
-
B.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
C.
Maike Kohl-Richter
Maike Kohl-Richter is a German academic and lawyer best known as the second wife and widow of former Chancellor Helmut Kohl.
-
D.
Christiane Herzog
Christiane Herzog was a German First Lady and philanthropist known for her social engagement, particularly in support of cystic fibrosis patients, during and after her husband Roman Herzog’s presidency.
-
E.
Marta Kwiatkowska
Marta Kwiatkowska is a prominent computer scientist known for her contributions to probabilistic model checking and formal verification.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66798148190bd7b163043167409 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc6e808708190a6fecd30f47d7e5a |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc766c2508190af1d598eb18d38f7 |
completed | March 10, 2026, 7:25 a.m. |
Created at: March 6, 2026, 9:58 p.m.