Triple
T10378777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Loerzer |
E244577
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Fritz Loerzer
Fritz Loerzer was a German military officer and World War II Luftwaffe general.
|
E1067355
|
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: Fritz Loerzer | Statement: [Bruno Loerzer, sibling, Fritz Loerzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fritz Loerzer Context triple: [Bruno Loerzer, sibling, Fritz Loerzer]
-
A.
Georg Lörner
Georg Lörner was a high-ranking SS official and Nazi war criminal who played a key role in the administration of concentration camp economics and was later convicted at the Nuremberg Trials.
-
B.
Fritz Luchsinger
Fritz Luchsinger was a Swiss mountaineer best known as one of the first climbers to reach the summit of Lhotse, the world’s fourth-highest mountain.
-
C.
Rudolf Schuster
Rudolf Schuster is a Slovak politician and diplomat who served as the first president of independent Slovakia from 1999 to 2004.
-
D.
Franz Eckert
Franz Eckert was a German musician and composer known for arranging and influencing early modern national anthems in Japan and Korea.
-
E.
Werner Gruner
Werner Gruner was a German engineer and weapons designer best known for creating the MG 42 general-purpose machine gun used by Nazi Germany during World War II.
- 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: Fritz Loerzer Triple: [Bruno Loerzer, sibling, Fritz Loerzer]
Generated description
Fritz Loerzer was a German military officer and World War II Luftwaffe general.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fritz Loerzer Target entity description: Fritz Loerzer was a German military officer and World War II Luftwaffe general.
-
A.
Georg Lörner
Georg Lörner was a high-ranking SS official and Nazi war criminal who played a key role in the administration of concentration camp economics and was later convicted at the Nuremberg Trials.
-
B.
Fritz Luchsinger
Fritz Luchsinger was a Swiss mountaineer best known as one of the first climbers to reach the summit of Lhotse, the world’s fourth-highest mountain.
-
C.
Rudolf Schuster
Rudolf Schuster is a Slovak politician and diplomat who served as the first president of independent Slovakia from 1999 to 2004.
-
D.
Franz Eckert
Franz Eckert was a German musician and composer known for arranging and influencing early modern national anthems in Japan and Korea.
-
E.
Werner Gruner
Werner Gruner was a German engineer and weapons designer best known for creating the MG 42 general-purpose machine gun used by Nazi Germany during World War II.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98fead88190ace49f34b8a27c25 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f1e29c8190b073c3293cf68cb2 |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c7957abc8190966528ba353cfbfa |
completed | May 3, 2026, 10:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c80bc32c8190bd185400bafe00cf |
completed | May 3, 2026, 10:11 p.m. |
Created at: April 6, 2026, 12:03 p.m.