Triple
T3305838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto von Lossow |
E69446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
von Lossow
Von Lossow is a German noble family name historically associated with military officers and aristocratic lineages in Germany.
|
E347180
|
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: von Lossow | Statement: [Otto von Lossow, familyName, von Lossow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Lossow Context triple: [Otto von Lossow, familyName, von Lossow]
-
A.
von Weichs
von Weichs is a German noble family name most prominently associated with Maximilian von Weichs, a senior Wehrmacht field marshal during World War II.
-
B.
von Bock
Von Bock is a German noble surname most prominently associated with Fedor von Bock, a senior Wehrmacht field marshal during World War II.
-
C.
Lorenz Hackenholt
Lorenz Hackenholt was an SS officer and key operative in the Nazi Aktion Reinhard extermination program, notably involved in the construction and operation of gas chambers at death camps.
-
D.
Lorens
Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
-
E.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
- 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: von Lossow Triple: [Otto von Lossow, familyName, von Lossow]
Generated description
Von Lossow is a German noble family name historically associated with military officers and aristocratic lineages in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Lossow Target entity description: Von Lossow is a German noble family name historically associated with military officers and aristocratic lineages in Germany.
-
A.
von Weichs
von Weichs is a German noble family name most prominently associated with Maximilian von Weichs, a senior Wehrmacht field marshal during World War II.
-
B.
von Bock
Von Bock is a German noble surname most prominently associated with Fedor von Bock, a senior Wehrmacht field marshal during World War II.
-
C.
Lorenz Hackenholt
Lorenz Hackenholt was an SS officer and key operative in the Nazi Aktion Reinhard extermination program, notably involved in the construction and operation of gas chambers at death camps.
-
D.
Lorens
Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
-
E.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c9470881908c36c1984fdbb67b |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3e6e55881909417d54e0d8f0a26 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2fa93ebc0819084c4cdfdb8d6e48d |
completed | March 12, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b6e224819080957998acbed524 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:11 p.m.