Triple

T5431242
Position Surface form Disambiguated ID Type / Status
Subject Lee Krasner E121494 entity
Predicate familyName P18 FINISHED
Object Krasner E22274 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: Krasner | Statement: [Lee Krasner, familyName, Krasner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasner
Context triple: [Lee Krasner, familyName, Krasner]
  • A. Nevelson
    Nevelson is a surname most prominently associated with Louise Nevelson, the influential 20th-century American sculptor known for her monumental monochromatic wooden wall pieces.
  • B. Ed Moses
    Ed Moses was an influential American abstract painter associated with the Los Angeles art scene and the West Coast’s postwar avant-garde.
  • C. Robert Krasker
    Robert Krasker was an Australian-born cinematographer best known for his atmospheric black-and-white work on classic films such as "The Third Man."
  • D. Franz Kline
    Franz Kline was an American Abstract Expressionist painter best known for his large, gestural black-and-white canvases that emphasize bold, dynamic brushstrokes.
  • E. Lee Krasner chosen
    Lee Krasner was an influential American abstract expressionist painter known for her innovative collages and for helping shape the New York School of modern art.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883f982c8190bdf277e1ba85ff7b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ac985e48190ba9610e0563c73ab completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.