Triple
T10282608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Til Schweiger |
E241140
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Zweiohrküken |
E852530
|
NE FINISHED |
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: Zweiohrküken | Statement: [Til Schweiger, produced, Zweiohrküken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zweiohrküken Context triple: [Til Schweiger, produced, Zweiohrküken]
-
A.
Zweiohrküken
chosen
Zweiohrküken is a 2009 German romantic comedy film and sequel to Keinohrhasen, directed by and starring Til Schweiger.
-
B.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
-
C.
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.
-
D.
Bierden
Bierden is a district of the town of Achim in Lower Saxony, Germany.
-
E.
Hinteri Egg
Hinteri Egg is a mountain peak in Switzerland that forms the highest point of the canton of Basel-Landschaft.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d750097f1c8190a4b04e3758c89aae |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:39 a.m.