Triple
T12926968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernd Eichinger |
E309267
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
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.
|
E1027547
|
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: Katja Eichinger | Statement: [Bernd Eichinger, spouse, Katja Eichinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katja Eichinger Context triple: [Bernd Eichinger, spouse, Katja Eichinger]
-
A.
Angelika Schlunck
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
-
B.
Eva Mattes
Eva Mattes is a German actress known for her extensive work in film, television, and theater, including collaborations with directors like Rainer Werner Fassbinder and Werner Herzog.
-
C.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
-
D.
Angelika Dittrich
Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
-
E.
Erika Grünlich
Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
- 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: Katja Eichinger Triple: [Bernd Eichinger, spouse, Katja Eichinger]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katja Eichinger Target entity description: 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.
-
A.
Angelika Schlunck
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
-
B.
Eva Mattes
Eva Mattes is a German actress known for her extensive work in film, television, and theater, including collaborations with directors like Rainer Werner Fassbinder and Werner Herzog.
-
C.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
-
D.
Angelika Dittrich
Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
-
E.
Erika Grünlich
Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c044388190b0832e44c59a8537 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f9e78d488190a3b4f3c1050dc0a5 |
completed | May 3, 2026, 7:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6faae6bb481909939881996d0f5f6 |
completed | May 3, 2026, 7:35 a.m. |
Created at: April 9, 2026, 5:42 p.m.