Triple

T17778971
Position Surface form Disambiguated ID Type / Status
Subject American Artists School E443845 entity
Predicate notableTeacher P7128 FINISHED
Object Minna Citron 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: Minna Citron | Statement: [American Artists School, notableTeacher, Minna Citron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minna Citron
Context triple: [American Artists School, notableTeacher, Minna Citron]
  • A. Minna Citron chosen
    Minna Citron was an American painter and printmaker associated with social realism and later abstract expressionism, known for her satirical and feminist themes.
  • B. Zitrone
    Zitrone is a French surname most notably borne by Léon Zitrone, a prominent 20th-century television journalist and presenter in France.
  • C. Limonest
    Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
  • D. L’orange
    "L’orange" is a popular French chanson by singer-songwriter Gilbert Bécaud, known for its vivid storytelling and melodic, emotive style.
  • E. Grapefruit
    Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871f63708190b298ed96896ad0ee completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.