Triple

T22485648
Position Surface form Disambiguated ID Type / Status
Subject T Lavitz E555870 entity
Predicate familyName P18 FINISHED
Object Lavitz 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: Lavitz | Statement: [T Lavitz, familyName, Lavitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lavitz
Context triple: [T Lavitz, familyName, Lavitz]
  • A. T Lavitz chosen
    T Lavitz was an American jazz fusion and rock keyboardist best known for his work with the Dixie Dregs and numerous other progressive and jam bands.
  • B. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • C. Lavin
    Lavin is a small Swiss village in the Lower Engadine region of the canton of Graubünden, known for its traditional Alpine character and scenic mountain surroundings.
  • D. Laviolette
    Laviolette was a 17th-century French military officer and colonial administrator best known for establishing the settlement that became the city of Trois-Rivières in New France.
  • E. Kravitz
    Kravitz is a surname most prominently associated with American rock musician and actor Lenny Kravitz.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3c6d808190b6dc70c3d1985bf3 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.