Triple

T10509211
Position Surface form Disambiguated ID Type / Status
Subject Henriette Théodora Markovitch E247867 entity
Predicate familyName P18 FINISHED
Object Markovitch E211777 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: Markovitch | Statement: [Henriette Théodora Markovitch, familyName, Markovitch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markovitch
Context triple: [Henriette Théodora Markovitch, familyName, Markovitch]
  • A. Markovitch chosen
    Markovitch is the family name of Dora Maar, the French photographer and painter closely associated with Pablo Picasso and the Surrealist movement.
  • B. Markovich
    Markovich is a surname of Slavic origin, commonly found in Eastern European and Jewish communities.
  • C. Moskovitch
    Moskovitch is a surname, likely of Eastern European or Jewish origin, used as a variant spelling of "Moskovitz."
  • D. Markow
    Markow is a small village located on the island municipality of Ummanz in the German state of Mecklenburg-Vorpommern.
  • E. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b359ac8190b3683cc6b9c70a71 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcee1db081908c791867e2438d30 completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:26 p.m.