Triple
T18690610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildegard Knef |
E456986
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Die Sünderin |
—
|
NE NERFINISHED |
How this triple was built (3 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: Die Sünderin | Statement: [Hildegard Knef, notableWork, Die Sünderin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Die Sünderin Context triple: [Hildegard Knef, notableWork, Die Sünderin]
-
A.
The Sinner
The Sinner is a psychological crime drama television series that follows Detective Harry Ambrose as he investigates disturbing, seemingly inexplicable crimes, each unfolding over a season-long mystery.
-
B.
The Sinner
The Sinner is a crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles and detective Jane Rizzoli as they investigate a brutal murder in a convent.
-
C.
The Sinner
The Sinner is a British reality television series in which aspiring businesspeople compete in a series of challenges to win a job with a prominent entrepreneur.
-
D.
The Sinner
The Sinner is a psychological crime novel by British author Caroline England, known for its dark exploration of secrets, guilt, and moral ambiguity.
-
E.
The Great Sinner
"The Great Sinner" is a 1949 American drama film loosely inspired by Dostoevsky’s "The Gambler," known for its exploration of gambling addiction and its ensemble cast including Nina Foch.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Die Sünderin Target entity description: Die Sünderin is a controversial 1951 West German film starring Hildegard Knef, noted for its bold treatment of sexuality and morality in postwar cinema.
-
A.
The Sinner
The Sinner is a psychological crime drama television series that follows Detective Harry Ambrose as he investigates disturbing, seemingly inexplicable crimes, each unfolding over a season-long mystery.
-
B.
The Sinner
The Sinner is a crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles and detective Jane Rizzoli as they investigate a brutal murder in a convent.
-
C.
The Sinner
The Sinner is a British reality television series in which aspiring businesspeople compete in a series of challenges to win a job with a prominent entrepreneur.
-
D.
The Sinner
The Sinner is a psychological crime novel by British author Caroline England, known for its dark exploration of secrets, guilt, and moral ambiguity.
-
E.
The Great Sinner
"The Great Sinner" is a 1949 American drama film loosely inspired by Dostoevsky’s "The Gambler," known for its exploration of gambling addiction and its ensemble cast including Nina Foch.
- F. None of above. chosen
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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e28e5c8190b0033c1667d50e05 |
completed | April 19, 2026, 11:18 p.m. |
Created at: April 10, 2026, 11:49 a.m.