Triple

T16649471
Position Surface form Disambiguated ID Type / Status
Subject General Della Rovere E404563 entity
Predicate starring P1507 FINISHED
Object Hannes Messemer E522884 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: Hannes Messemer | Statement: [General Della Rovere, starring, Hannes Messemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannes Messemer
Context triple: [General Della Rovere, starring, Hannes Messemer]
  • A. Hannes Messemer chosen
    Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
  • B. Markus Knüfken
    Markus Knüfken is a German actor known for his roles in film and television since the 1990s.
  • C. Hannes Jaenicke
    Hannes Jaenicke is a German actor and documentary filmmaker known for his roles in film and television as well as his environmental activism.
  • D. Matthias Kleinheisterkamp
    Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
  • E. Johannes Popitz
    Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad85ec881909dc6a434a363dab1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c2a8448190a9f05bc7e1ce7a05 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.