Triple
T18690608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildegard Knef |
E456986
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Christiane Knef
Christiane Knef is the daughter of renowned German actress and singer Hildegard Knef.
|
E1341110
|
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: Christiane Knef | Statement: [Hildegard Knef, child, Christiane Knef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christiane Knef Context triple: [Hildegard Knef, child, Christiane Knef]
-
A.
Katja Eichinger
Katja Eichinger is a German author and journalist known for her work on film and culture, as well as for being married to the late film producer Bernd Eichinger.
-
B.
Sonja Gerhardt
Sonja Gerhardt is a German actress known for her roles in film and television, particularly in historical and drama series.
-
C.
Christiane Lang
Christiane Lang is an actress known for her role in the 1968 historical film "The Chronicle of Anna Magdalena Bach."
-
D.
Johanna Schall
Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
-
E.
Claudia Tiedemann
Claudia Tiedemann is a central character in the German sci-fi series "Dark," known for her complex time-travel involvement and pivotal role in unraveling the show's intergenerational mysteries.
- 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: Christiane Knef Triple: [Hildegard Knef, child, Christiane Knef]
Generated description
Christiane Knef is the daughter of renowned German actress and singer Hildegard Knef.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christiane Knef Target entity description: Christiane Knef is the daughter of renowned German actress and singer Hildegard Knef.
-
A.
Katja Eichinger
Katja Eichinger is a German author and journalist known for her work on film and culture, as well as for being married to the late film producer Bernd Eichinger.
-
B.
Sonja Gerhardt
Sonja Gerhardt is a German actress known for her roles in film and television, particularly in historical and drama series.
-
C.
Christiane Lang
Christiane Lang is an actress known for her role in the 1968 historical film "The Chronicle of Anna Magdalena Bach."
-
D.
Johanna Schall
Johanna Schall is a German actress and theatre director, and the granddaughter of playwright Bertolt Brecht.
-
E.
Claudia Tiedemann
Claudia Tiedemann is a central character in the German sci-fi series "Dark," known for her complex time-travel involvement and pivotal role in unraveling the show's intergenerational mysteries.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e28e5c8190b0033c1667d50e05 |
completed | April 19, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d266d348190bad1de51c69134ee |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053e037df4819097cbbd934202f655 |
completed | May 14, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053e7709d08190827353de2fe405f1 |
completed | May 14, 2026, 3:16 a.m. |
Created at: April 10, 2026, 11:49 a.m.