Triple
T21229964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jürgen Prochnow |
E523182
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Verena Wengler |
—
|
NE NERFINISHED |
How this triple was built (2 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 Wengler | Statement: [Jürgen Prochnow, spouse, Verena Wengler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verena Wengler Context triple: [Jürgen Prochnow, spouse, Verena Wengler]
-
A.
Verena Wengler
chosen
Verena Wengler is known as the spouse of German actor Jürgen Prochnow.
-
B.
Verena Bentele
Verena Bentele is a German former Paralympic biathlete and cross-country skier who became a prominent politician and disability rights advocate.
-
C.
Anna Werner
Anna Werner was the wife of prominent Polish industrialist Karol Scheibler, associated with the influential Scheibler family in Łódź.
-
D.
Verena Becker
Verena Becker is a former member of the German left-wing militant group Movement 2 June, known for her involvement in political violence and subsequent legal proceedings in the 1970s and 1980s.
-
E.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ae60408190a9480b27d109b8fc |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:45 p.m.