Triple

T6743317
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Bluth Fünke E154143 entity
Predicate spouse P13 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: [Lindsay Bluth Fünke, spouse, Tobias Fünke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobias Fünke
Context triple: [Lindsay Bluth Fünke, spouse, 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. Markus Vogt
    Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
  • D. Tobias Ritter
    Tobias Ritter is a German-born organic chemist recognized for his contributions to fluorination chemistry and for leading a prominent research group in synthetic methodology.
  • E. Christoph Dolle
    Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b3b1448190a94b4b64f01af14a completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b11b828819084d5a21dde5f1f5b completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.