Triple

T13609120
Position Surface form Disambiguated ID Type / Status
Subject George Wendt E325140 entity
Predicate familyName P18 FINISHED
Object Wendt E811726 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: Wendt | Statement: [George Wendt, familyName, Wendt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendt
Context triple: [George Wendt, familyName, Wendt]
  • A. Wendt chosen
    Wendt is a surname most notably associated with the German-born American landscape painter William Wendt, a key figure in early California Impressionism.
  • B. Wendel
    Wendel is a small unincorporated community located in rural northeastern California.
  • C. Wende
    Wende is a diminutive form of the given name Wendela, typically used as a familiar or affectionate variant.
  • D. Wesselmann
    Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
  • E. Wirth
    Wirth is a Swiss surname most notably associated with computer scientist Niklaus Wirth, the designer of several influential programming languages.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.