Triple

T21652985
Position Surface form Disambiguated ID Type / Status
Subject Michaela E534386 entity
Predicate hasVariant P455 FINISHED
Object Mihaela 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: Mihaela | Statement: [Michaela, hasVariant, Mihaela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mihaela
Context triple: [Michaela, hasVariant, Mihaela]
  • A. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • B. Catinca
    Catinca is a Romanian actress best known for her acclaimed role as Alexandria in the fantasy film "The Fall" (2006).
  • C. Maria Sursuvul
    Maria Sursuvul was a Bulgarian noblewoman of the early medieval period, best known as the mother of Tsar Peter I of Bulgaria.
  • D. Michela chosen
    Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
  • E. Maria Voichița
    Maria Voichița was a Moldavian princess and consort, best known as one of the wives of Stephen the Great, ruler of Moldavia in the late 15th century.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591594a08190bf0ddd0a0c0922ba completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.