Triple

T22645796
Position Surface form Disambiguated ID Type / Status
Subject Gregori Warchavchik E558958 entity
Predicate name P16 FINISHED
Object Gregori Warchavchik 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: Gregori Warchavchik | Statement: [Gregori Warchavchik, name, Gregori Warchavchik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregori Warchavchik
Context triple: [Gregori Warchavchik, name, Gregori Warchavchik]
  • A. Gregori Warchavchik chosen
    Gregori Warchavchik was a pioneering modernist architect in Brazil, known for introducing and promoting modern architecture in the country during the early 20th century.
  • B. Jonathan Galkin
    Jonathan Galkin is an American music industry executive and co-founder of the influential independent record label DFA Records.
  • C. Ari Tasarov
    Ari Tasarov is a fictional character portrayed as a Russian antagonist in the television series "Nikita."
  • D. Adam Tsekhman
    Adam Tsekhman is a Canadian actor best known for his role as Gary Green on the superhero television series "DC's Legends of Tomorrow."
  • E. Julian Krainin
    Julian Krainin is an American film and television producer and director known for his work on acclaimed projects such as the historical drama "Quiz Show."
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170371fe08190a6a53809d185f8b5 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.