Triple
T17442932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehlers |
E424702
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hanni Ehlers
Hanni Ehlers is a German literary translator known for translating works of English-language authors into German.
|
E1272213
|
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: Hanni Ehlers | Statement: [Ehlers, hasNotableBearer, Hanni Ehlers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanni Ehlers Context triple: [Ehlers, hasNotableBearer, Hanni Ehlers]
-
A.
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.
-
B.
Elisabeth Röhm
Elisabeth Röhm is a German-American actress best known for her role as Assistant District Attorney Serena Southerlyn on the television series "Law & Order."
-
C.
Eleonore Kohl
Eleonore Kohl is an alternative name used for Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl and a prominent public figure in Germany.
-
D.
Herta-Maria Bohnen
Herta-Maria Bohnen is the daughter of American actor Roman Bohnen.
-
E.
Elisabeth Röckel
Elisabeth Röckel was a 19th-century German soprano closely associated with the Viennese musical scene and figures such as Beethoven and her husband, composer Johann Nepomuk Hummel.
- 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: Hanni Ehlers Triple: [Ehlers, hasNotableBearer, Hanni Ehlers]
Generated description
Hanni Ehlers is a German literary translator known for translating works of English-language authors into German.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanni Ehlers Target entity description: Hanni Ehlers is a German literary translator known for translating works of English-language authors into German.
-
A.
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.
-
B.
Elisabeth Röhm
Elisabeth Röhm is a German-American actress best known for her role as Assistant District Attorney Serena Southerlyn on the television series "Law & Order."
-
C.
Eleonore Kohl
Eleonore Kohl is an alternative name used for Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl and a prominent public figure in Germany.
-
D.
Herta-Maria Bohnen
Herta-Maria Bohnen is the daughter of American actor Roman Bohnen.
-
E.
Elisabeth Röckel
Elisabeth Röckel was a 19th-century German soprano closely associated with the Viennese musical scene and figures such as Beethoven and her husband, composer Johann Nepomuk Hummel.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff927ec8190995798f569e913ba |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c1f2b9a4819085d8ce97ad2935eb |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c3a2393c81909b2137d94d522ca7 |
completed | May 11, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c459b2b48190ba00d53c4477f54e |
completed | May 11, 2026, 11:58 a.m. |
Created at: April 10, 2026, 5:47 a.m.