Triple

T10323149
Position Surface form Disambiguated ID Type / Status
Subject SLC Punk! E242689 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: [SLC Punk!, castMember, Til Schweiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Til Schweiger
Context triple: [SLC Punk!, 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. 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.
  • C. 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."
  • D. 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.
  • E. Hanno Brühl
    Hanno Brühl was a German television director and the father of actor Daniel Brühl.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da2053481908fe5ed097b480cdd completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.