Triple
T12909665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Benrath |
E308819
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Martin Benrath |
—
|
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: Martin Benrath | Statement: [Ellen Benrath, spouse, Martin Benrath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Benrath Context triple: [Ellen Benrath, spouse, Martin Benrath]
-
A.
Martin Benrath
chosen
Martin Benrath was a German actor known for his extensive work in film, television, and theater from the mid-20th century onward.
-
B.
Michael Bollner
Michael Bollner is a German former child actor best known for playing Augustus Gloop in the 1971 film "Willy Wonka & the Chocolate Factory."
-
C.
Eckhard Pfeiffer
Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
-
D.
Jürgen Büscher
Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
-
E.
Rainer Klausmann
Rainer Klausmann is a Swiss cinematographer known for his work on acclaimed European films, including the World War II drama "Downfall."
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
Created at: April 9, 2026, 5:41 p.m.