Triple
T16602985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behrendt |
E403375
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jutta Behrendt
Jutta Behrendt is a former East German rower who won multiple Olympic and world championship medals during the 1980s.
|
E1228562
|
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: Jutta Behrendt | Statement: [Behrendt, hasNotableBearer, Jutta Behrendt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jutta Behrendt Context triple: [Behrendt, hasNotableBearer, Jutta Behrendt]
-
A.
Jutta Steinruck
Jutta Steinruck is a German politician who serves as the mayor of Ludwigshafen am Rhein and has been active in both local and European politics.
-
B.
Gertrud Strube
Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
-
C.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
D.
Gisela Richter
Gisela Richter was a prominent German-born American classical archaeologist and art historian known for her influential work on Greek sculpture and vase painting.
-
E.
Traute Becker
Traute Becker was the wife of Armin, Prince of Lippe, and thus a member of the German princely House of Lippe.
- 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: Jutta Behrendt Triple: [Behrendt, hasNotableBearer, Jutta Behrendt]
Generated description
Jutta Behrendt is a former East German rower who won multiple Olympic and world championship medals during the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jutta Behrendt Target entity description: Jutta Behrendt is a former East German rower who won multiple Olympic and world championship medals during the 1980s.
-
A.
Jutta Steinruck
Jutta Steinruck is a German politician who serves as the mayor of Ludwigshafen am Rhein and has been active in both local and European politics.
-
B.
Gertrud Strube
Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
-
C.
Adelheid Wendt
Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
-
D.
Gisela Richter
Gisela Richter was a prominent German-born American classical archaeologist and art historian known for her influential work on Greek sculpture and vase painting.
-
E.
Traute Becker
Traute Becker was the wife of Armin, Prince of Lippe, and thus a member of the German princely House of Lippe.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d77d97c8190a63330897e49a9c9 |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00918ae5f48190a85af2dfbe9708d4 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00920dd72c8190b30d4edd779e7029 |
completed | May 10, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0092e322d08190862ae42a28c9e5cf |
completed | May 10, 2026, 2:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.