Triple
T16309855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claus |
E396023
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Klaus-Georg
Klaus-Georg is a masculine given name of German origin, typically used as a compound form combining "Klaus" and "Georg."
|
E1209046
|
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: Klaus-Georg | Statement: [Claus, givenName, Klaus-Georg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaus-Georg Context triple: [Claus, givenName, Klaus-Georg]
-
A.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
B.
Klaus Kreutz
Klaus Kreutz was a member of the Kreisau Circle, a German resistance group that opposed the Nazi regime during World War II.
-
C.
Hans-Jürgen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
D.
Olaf Kölzig
Olaf Kölzig is a former German-Canadian NHL goaltender best known for his long, standout career with the Washington Capitals, including winning the Vezina Trophy in 2000.
-
E.
Klaus Hamm-Brücher
Klaus Hamm-Brücher was a German academic and public figure best known as the husband and close political companion of liberal politician Hildegard Hamm-Brücher.
- 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: Klaus-Georg Triple: [Claus, givenName, Klaus-Georg]
Generated description
Klaus-Georg is a masculine given name of German origin, typically used as a compound form combining "Klaus" and "Georg."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klaus-Georg Target entity description: Klaus-Georg is a masculine given name of German origin, typically used as a compound form combining "Klaus" and "Georg."
-
A.
Klaus Thiel
Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
-
B.
Klaus Kreutz
Klaus Kreutz was a member of the Kreisau Circle, a German resistance group that opposed the Nazi regime during World War II.
-
C.
Hans-Jürgen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
D.
Olaf Kölzig
Olaf Kölzig is a former German-Canadian NHL goaltender best known for his long, standout career with the Washington Capitals, including winning the Vezina Trophy in 2000.
-
E.
Klaus Hamm-Brücher
Klaus Hamm-Brücher was a German academic and public figure best known as the husband and close political companion of liberal politician Hildegard Hamm-Brücher.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d9557c81909203cd47aebf0f44 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da444408190b770055d84060f4d |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:06 a.m.