Triple
T11682103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Siegmann |
E277641
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Siegmann
Siegmann is a German-language surname borne by various notable individuals, including figures in the arts and sports.
|
E940656
|
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: Siegmann | Statement: [George Siegmann, familyName, Siegmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegmann Context triple: [George Siegmann, familyName, Siegmann]
-
A.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
-
B.
Leumann
Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
-
C.
Gütermann
Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
-
D.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
E.
Raimondi
Raimondi is an Italian surname borne by various notable figures in fields such as science, the 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: Siegmann Triple: [George Siegmann, familyName, Siegmann]
Generated description
Siegmann is a German-language surname borne by various notable individuals, including figures in the arts and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siegmann Target entity description: Siegmann is a German-language surname borne by various notable individuals, including figures in the arts and sports.
-
A.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
-
B.
Leumann
Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
-
C.
Gütermann
Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
-
D.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
E.
Raimondi
Raimondi is an Italian surname borne by various notable figures in fields such as science, the 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a462bb2881909238107d34c0a28d |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef141134bc81908c0cfb0a3711c115 |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.