Triple

T22618780
Position Surface form Disambiguated ID Type / Status
Subject Weiße Rose E558216 entity
Predicate hasMember P10 FINISHED
Object Christoph Probst NE NERFINISHED

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: Christoph Probst | Statement: [Weiße Rose, hasMember, Christoph Probst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christoph Probst
Context triple: [Weiße Rose, hasMember, Christoph Probst]
  • A. Christoph Probst chosen
    Christoph Probst was a German medical student and resistance fighter who was executed in 1943 for his involvement in the anti-Nazi White Rose movement.
  • B. Matthias Schweighöfer
    Matthias Schweighöfer is a German actor, director, and producer known for his work in both domestic cinema and international projects such as the film "Army of Thieves."
  • C. Florian Lukas
    Florian Lukas is a German actor known for his roles in films such as "Good Bye, Lenin!" and various German television productions.
  • D. Tobias Fünke
    Tobias Fünke is a socially awkward, aspiring actor and former analyst-therapist known for his oblivious behavior and unintentional double entendres in the television series "Arrested Development."
  • E. Stefan Krapf
    Stefan Krapf is an Austrian politician who serves as the mayor of the town of Gmunden.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e377ae88190832edfdfbc3ed58f completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.