Triple
T7104831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verena |
E165554
|
entity |
| Predicate | hasNotableNamesake |
P30307
|
FINISHED |
| Object |
Verena Bentele
Verena Bentele is a German former Paralympic biathlete and cross-country skier who became a prominent politician and disability rights advocate.
|
E641941
|
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: Verena Bentele | Statement: [Verena, hasNotableNamesake, Verena Bentele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verena Bentele Context triple: [Verena, hasNotableNamesake, Verena Bentele]
-
A.
Verena Wengler
Verena Wengler is known as the spouse of German actor Jürgen Prochnow.
-
B.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
C.
Franziska Matzelsberger
Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
-
D.
Franziska Braun
Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
-
E.
Angelika Schlunck
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
- 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: Verena Bentele Triple: [Verena, hasNotableNamesake, Verena Bentele]
Generated description
Verena Bentele is a German former Paralympic biathlete and cross-country skier who became a prominent politician and disability rights advocate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verena Bentele Target entity description: Verena Bentele is a German former Paralympic biathlete and cross-country skier who became a prominent politician and disability rights advocate.
-
A.
Verena Wengler
Verena Wengler is known as the spouse of German actor Jürgen Prochnow.
-
B.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
C.
Franziska Matzelsberger
Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
-
D.
Franziska Braun
Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
-
E.
Angelika Schlunck
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58b3f708190bebca7d4c4db40f2 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cb0ee3481908f2f7efb5e9d1714 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d3feacc819097887064a7439340 |
completed | March 28, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79df3f5648190981176b6c9791181 |
completed | March 28, 2026, 9:23 a.m. |
Created at: March 27, 2026, 2:42 p.m.