Triple
T10282607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Til Schweiger |
E241140
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Keinohrhasen |
E854960
|
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: Keinohrhasen | Statement: [Til Schweiger, produced, Keinohrhasen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keinohrhasen Context triple: [Til Schweiger, produced, Keinohrhasen]
-
A.
Keinohrhasen
chosen
Keinohrhasen is a popular German romantic comedy film that significantly boosted Til Schweiger’s fame as both an actor and director.
-
B.
Aspen Hare
Aspen Hare is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing speed and agility.
-
C.
Lepus
Lepus is a small southern constellation located just below Orion, traditionally representing a hare.
-
D.
Lepus
Lepus is a genus of fast-running mammals commonly known as hares and jackrabbits, found across much of the world in open and semi-open habitats.
-
E.
Lapine
Lapine is a surname most notably associated with American theater director and playwright James Lapine, known for his collaborations with composer Stephen Sondheim.
- 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_69d794c79ae88190b80c805f7671e264 |
completed | April 9, 2026, noon |
Created at: April 6, 2026, 11:39 a.m.