Triple
T14500983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Paul Kleihues |
E359635
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kleihues
Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
|
E1111190
|
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: Kleihues | Statement: [Josef Paul Kleihues, familyName, Kleihues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleihues Context triple: [Josef Paul Kleihues, familyName, Kleihues]
-
A.
Kellinghausen
Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
-
B.
Kallenbach
Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
-
C.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
-
D.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
E.
Schwanebeck
Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
- 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: Kleihues Triple: [Josef Paul Kleihues, familyName, Kleihues]
Generated description
Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleihues Target entity description: Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
-
A.
Kellinghausen
Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
-
B.
Kallenbach
Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
-
C.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
-
D.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
E.
Schwanebeck
Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de94dfe484819086dd971606e6478e |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda90c365481908a8a060cb1908775 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb2c3d85481909021d924a2d660bb |
completed | May 8, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3f34578819099e67be907eb1b7d |
completed | May 8, 2026, 9:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.