Triple
T16791861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig Hilberseimer |
E408129
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hilberseimer
Hilberseimer is the surname of Ludwig Hilberseimer, a German-American architect and urban planner known for his influential modernist city planning theories.
|
E1233619
|
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: Hilberseimer | Statement: [Ludwig Hilberseimer, familyName, Hilberseimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hilberseimer Context triple: [Ludwig Hilberseimer, familyName, Hilberseimer]
-
A.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
-
B.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
C.
Hildebrandt
Hildebrandt is a German surname borne by various notable figures in fields such as politics, science, and the arts.
-
D.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
-
E.
Paepcke
Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
- 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: Hilberseimer Triple: [Ludwig Hilberseimer, familyName, Hilberseimer]
Generated description
Hilberseimer is the surname of Ludwig Hilberseimer, a German-American architect and urban planner known for his influential modernist city planning theories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hilberseimer Target entity description: Hilberseimer is the surname of Ludwig Hilberseimer, a German-American architect and urban planner known for his influential modernist city planning theories.
-
A.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
-
B.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
C.
Hildebrandt
Hildebrandt is a German surname borne by various notable figures in fields such as politics, science, and the arts.
-
D.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
-
E.
Paepcke
Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a6c9888190b3f8f625b299574d |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0c39108190a332fdc78c053628 |
completed | May 10, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_6a00ac621b3881908887b640bf3e3fce |
completed | May 10, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00acc3a9dc819087e07e539760bf34 |
completed | May 10, 2026, 4:05 p.m. |
Created at: April 10, 2026, 5:22 a.m.