Triple

T3944784
Position Surface form Disambiguated ID Type / Status
Subject George Michael Bluth E92119 entity
Predicate relative P37 FINISHED
Object Tobias Fünke E134421 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: Tobias Fünke | Statement: [George Michael Bluth, relative, Tobias Fünke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobias Fünke
Context triple: [George Michael Bluth, relative, Tobias Fünke]
  • A. Tobias Fünke chosen
    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."
  • B. Tobias Kohn
    Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
  • C. Christoph Dolle
    Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
  • D. Andreas Scholz
    Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
  • E. Maximilian Scheffler
    Maximilian Scheffler is a scientist known as a notable student and protégé of the German quantum chemist Joachim Sauer.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef0d8841081908d2c1de8e5758017 completed March 9, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53ff967a88190b0100dbedb580e4d completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:24 p.m.