Triple
T3405282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferenc Münnich |
E71756
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Münnich
Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
|
E366958
|
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: Münnich | Statement: [Ferenc Münnich, familyName, Münnich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Münnich Context triple: [Ferenc Münnich, familyName, Münnich]
-
A.
Münsing
Münsing is a municipality in Bavaria, Germany, located near Lake Starnberg and known for its scenic rural landscape and proximity to the Alps.
-
B.
Mössinger
Mössinger is a German surname most notably borne by Ingrid Mössinger, a prominent figure in the German art and museum world.
-
C.
Luterbach
Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
-
D.
Böbing
Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
-
E.
Lahnstein
Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
- 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: Münnich Triple: [Ferenc Münnich, familyName, Münnich]
Generated description
Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Münnich Target entity description: Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
-
A.
Münsing
Münsing is a municipality in Bavaria, Germany, located near Lake Starnberg and known for its scenic rural landscape and proximity to the Alps.
-
B.
Mössinger
Mössinger is a German surname most notably borne by Ingrid Mössinger, a prominent figure in the German art and museum world.
-
C.
Luterbach
Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
-
D.
Böbing
Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
-
E.
Lahnstein
Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8eaa41c819095a4d51aec074649 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bb30b708190ab06280feea59eaf |
completed | March 13, 2026, 3:59 a.m. |
| NEDg | Description generation | batch_69b38c4bf12081909212743357a9decf |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cb872948190a75bc6d6829187c5 |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.