Triple
T14355739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Joseph Lenné |
E355966
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lenné
Lenné is a German surname most notably associated with Peter Joseph Lenné, a renowned 19th-century landscape architect and garden designer.
|
E1095430
|
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: Lenné | Statement: [Peter Joseph Lenné, familyName, Lenné]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenné Context triple: [Peter Joseph Lenné, familyName, Lenné]
-
A.
Kallenbach
Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
-
B.
Rehberg
Rehberg is a district of the Austrian city Krems an der Donau, known for its historic character and location in the Wachau cultural landscape.
-
C.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
-
D.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
E.
Kaltenborn
Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
- 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: Lenné Triple: [Peter Joseph Lenné, familyName, Lenné]
Generated description
Lenné is a German surname most notably associated with Peter Joseph Lenné, a renowned 19th-century landscape architect and garden designer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lenné Target entity description: Lenné is a German surname most notably associated with Peter Joseph Lenné, a renowned 19th-century landscape architect and garden designer.
-
A.
Kallenbach
Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
-
B.
Rehberg
Rehberg is a district of the Austrian city Krems an der Donau, known for its historic character and location in the Wachau cultural landscape.
-
C.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
-
D.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
E.
Kaltenborn
Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f519bf881908615f4d47e0f77aa |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c473fa48190866ab946971e971c |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4d56b67c8190bc9ecd4f444df780 |
completed | May 8, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e9a678c8190bd1821e6c43a3a1a |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 10, 2026, 1:15 a.m.