Triple

T7655938
Position Surface form Disambiguated ID Type / Status
Subject Stalingrad (1993 film) E173380 entity
Predicate castMember P1668 FINISHED
Object Sebastian Rudolph E42864 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: Sebastian Rudolph | Statement: [Stalingrad (1993 film), castMember, Sebastian Rudolph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Rudolph
Context triple: [Stalingrad (1993 film), castMember, Sebastian Rudolph]
  • A. Sebastian Rudolph chosen
    Sebastian Rudolph is a German actor known for his work in film, television, and theater, including roles in historical and dramatic productions.
  • B. Sebastian Knapp
    Sebastian Knapp is an actor best known for his role in the 2013 television miniseries adaptation of the Bible.
  • C. Maximilian Bittner
    Maximilian Bittner is a German entrepreneur best known as the founding CEO of Lazada, a major Southeast Asian e-commerce platform.
  • D. Philipp Demandt
    Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
  • E. Matthias Ringmann
    Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018ea3688190907c3ac7d25e3da6 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89afd1438819080c8f097df1d1453 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.