Triple
T11236842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Means War |
E265960
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Til Schweiger |
E241140
|
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: Til Schweiger | Statement: [This Means War, castMember, Til Schweiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Til Schweiger Context triple: [This Means War, castMember, Til Schweiger]
-
A.
Til Schweiger
chosen
Til Schweiger is a prominent German actor, director, and producer known for his roles in both European cinema and Hollywood action films.
-
B.
Dominik Moll
Dominik Moll is a French film director and screenwriter known for his darkly comic and psychological thrillers such as "Harry, He's Here to Help" and "Only the Animals."
-
C.
Dieter Fox
Dieter Fox is a prominent computer scientist and roboticist known for his contributions to probabilistic robotics, perception, and machine learning in autonomous systems.
-
D.
Paul Walter Hauser
Paul Walter Hauser is an American actor and comedian known for his scene-stealing character roles in films and television, including his acclaimed lead performance in "Richard Jewell."
-
E.
Christian Kroll
Christian Kroll is a German entrepreneur best known for creating Ecosia, the eco-friendly search engine that uses its ad revenue to fund tree-planting projects worldwide.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.