Triple
T4538847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General der Jagdflieger |
E107476
|
entity |
| Predicate | notableHolder |
P1918
|
FINISHED |
| Object |
Adolf Baeumker
Adolf Baeumker was a German Luftwaffe officer who served as a General of Fighter Aviation during the Nazi era.
|
E849297
|
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: Adolf Baeumker | Statement: [General der Jagdflieger, notableHolder, Adolf Baeumker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adolf Baeumker Context triple: [General der Jagdflieger, notableHolder, Adolf Baeumker]
-
A.
Gerhard Doerfer
Gerhard Doerfer was a German linguist renowned for his critical work on Turkic and other Central Asian languages and for his influential rejection of the proposed Altaic language family.
-
B.
Otto Neuhoff
Otto Neuhoff is a German local politician who has served as the mayor of the town of Bad Honnef.
-
C.
Hans von Seisser
Hans von Seisser was a Bavarian police official and head of the Munich police who played a key role in opposing Adolf Hitler’s 1923 Beer Hall Putsch.
-
D.
Ernst Göhner
Ernst Göhner was a prominent Swiss entrepreneur and industrialist known for building a major construction and real estate empire and for his significant philanthropic legacy.
-
E.
Otto Josten
Otto Josten was the founder of Jostens, the American company best known for producing class rings, yearbooks, and other school-related memorabilia.
- 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: Adolf Baeumker Triple: [General der Jagdflieger, notableHolder, Adolf Baeumker]
Generated description
Adolf Baeumker was a German Luftwaffe officer who served as a General of Fighter Aviation during the Nazi era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adolf Baeumker Target entity description: Adolf Baeumker was a German Luftwaffe officer who served as a General of Fighter Aviation during the Nazi era.
-
A.
Gerhard Doerfer
Gerhard Doerfer was a German linguist renowned for his critical work on Turkic and other Central Asian languages and for his influential rejection of the proposed Altaic language family.
-
B.
Otto Neuhoff
Otto Neuhoff is a German local politician who has served as the mayor of the town of Bad Honnef.
-
C.
Hans von Seisser
Hans von Seisser was a Bavarian police official and head of the Munich police who played a key role in opposing Adolf Hitler’s 1923 Beer Hall Putsch.
-
D.
Ernst Göhner
Ernst Göhner was a prominent Swiss entrepreneur and industrialist known for building a major construction and real estate empire and for his significant philanthropic legacy.
-
E.
Otto Josten
Otto Josten was the founder of Jostens, the American company best known for producing class rings, yearbooks, and other school-related memorabilia.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57ba327c8190a7f12e14077b1fa7 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d62a4407388190a5d80f4773dd3dad |
completed | April 8, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d62aaffdcc8190a6904a5244417cb5 |
completed | April 8, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d62b023fcc8190a6cd87f18b87824b |
completed | April 8, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:04 p.m.