Triple
T10282593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Til Schweiger |
E241140
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Zweiohrküken
Zweiohrküken is a 2009 German romantic comedy film and sequel to Keinohrhasen, directed by and starring Til Schweiger.
|
E852530
|
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: Zweiohrküken | Statement: [Til Schweiger, notableWork, Zweiohrküken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zweiohrküken Context triple: [Til Schweiger, notableWork, Zweiohrküken]
-
A.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
-
B.
Schaufling
Schaufling is a small municipality in the Bavarian district of Regen in southeastern Germany, known for its rural setting in the Bavarian Forest region.
-
C.
Bierden
Bierden is a district of the town of Achim in Lower Saxony, Germany.
-
D.
Hinteri Egg
Hinteri Egg is a mountain peak in Switzerland that forms the highest point of the canton of Basel-Landschaft.
-
E.
Hahnen
Hahnen is a prominent mountain peak in the Swiss Alps near the resort town of Engelberg, known for its striking rocky profile and alpine scenery.
- 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: Zweiohrküken Triple: [Til Schweiger, notableWork, Zweiohrküken]
Generated description
Zweiohrküken is a 2009 German romantic comedy film and sequel to Keinohrhasen, directed by and starring Til Schweiger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zweiohrküken Target entity description: Zweiohrküken is a 2009 German romantic comedy film and sequel to Keinohrhasen, directed by and starring Til Schweiger.
-
A.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
-
B.
Schaufling
Schaufling is a small municipality in the Bavarian district of Regen in southeastern Germany, known for its rural setting in the Bavarian Forest region.
-
C.
Bierden
Bierden is a district of the town of Achim in Lower Saxony, Germany.
-
D.
Hinteri Egg
Hinteri Egg is a mountain peak in Switzerland that forms the highest point of the canton of Basel-Landschaft.
-
E.
Hahnen
Hahnen is a prominent mountain peak in the Swiss Alps near the resort town of Engelberg, known for its striking rocky profile and alpine scenery.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a22f9881908b220dbe1e80c101 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f83c3c488190b728783bc260b006 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcae243c819095a2e791716805bd |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd3495fc8190a093d2536cfbe58a |
completed | April 9, 2026, 1:13 a.m. |
Created at: April 6, 2026, 11:39 a.m.