Triple
T2014940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyeon Schröder-Kim |
E43772
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Schröder-Kim
Schröder-Kim is the hyphenated surname of Soyeon Schröder-Kim, known as the South Korean wife of former German Chancellor Gerhard Schröder.
|
E42659
|
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: Schröder-Kim | Statement: [Soyeon Schröder-Kim, familyName, Schröder-Kim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schröder-Kim Context triple: [Soyeon Schröder-Kim, familyName, Schröder-Kim]
-
A.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Kretschmann
Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
-
C.
Koopmans
Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
-
D.
Hahn
Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
-
E.
Kac
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
- 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: Schröder-Kim Triple: [Soyeon Schröder-Kim, familyName, Schröder-Kim]
Generated description
Schröder-Kim is the hyphenated surname of Soyeon Schröder-Kim, known as the South Korean wife of former German Chancellor Gerhard Schröder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schröder-Kim Target entity description: Schröder-Kim is the hyphenated surname of Soyeon Schröder-Kim, known as the South Korean wife of former German Chancellor Gerhard Schröder.
-
A.
Schröder
chosen
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Kretschmann
Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
-
C.
Koopmans
Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
-
D.
Hahn
Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
-
E.
Kac
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
- F. None of above.
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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aeca6388190befe0630d44de109 |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0bb8b34c81908f817bb1fbcb1873 |
completed | March 8, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c20aaf48190852334f9c76d0d18 |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:37 p.m.