Triple
T10441724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jörg Immendorff |
E246185
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Bleckede
Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
|
E863150
|
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: Bleckede | Statement: [Jörg Immendorff, placeOfBirth, Bleckede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleckede Context triple: [Jörg Immendorff, placeOfBirth, Bleckede]
-
A.
Blatná
Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
-
B.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
C.
Bleek
Bleek is a surname most notably associated with Wilhelm Bleek, a 19th-century linguist known for his pioneering work on African languages.
-
D.
Bechtsrieth
Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
E.
Weenen
Weenen is a small historic town in KwaZulu-Natal, South Africa, known for its agricultural surroundings and proximity to the Weenen Game Reserve.
- 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: Bleckede Triple: [Jörg Immendorff, placeOfBirth, Bleckede]
Generated description
Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bleckede Target entity description: Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
-
A.
Blatná
Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
-
B.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
C.
Bleek
Bleek is a surname most notably associated with Wilhelm Bleek, a 19th-century linguist known for his pioneering work on African languages.
-
D.
Bechtsrieth
Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
E.
Weenen
Weenen is a small historic town in KwaZulu-Natal, South Africa, known for its agricultural surroundings and proximity to the Weenen Game Reserve.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ebf488190ae776bd65e94cb00 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ed6edd88190afd5063daba58a46 |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d8837f98e08190bbffa535f94daf48 |
completed | April 10, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d889d0e70c8190953d164f34f01e47 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 6, 2026, 12:15 p.m.