Triple

T17375104
Position Surface form Disambiguated ID Type / Status
Subject Ève E422415 entity
Predicate hasVariant P455 FINISHED
Object Éva 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: Éva | Statement: [Ève, hasVariant, Éva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Éva
Context triple: [Ève, hasVariant, Éva]
  • A. Éva chosen
    Éva is a feminine given name of Hungarian origin, notably borne by the actress Eva Bartok.
  • B. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • C. Margit Kovács
    Margit Kovács was a renowned Hungarian ceramic artist celebrated for her expressive, folk-inspired sculptures and significant contribution to 20th-century European ceramics.
  • D. Antónia
    Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
  • E. Eniko
    Eniko is a small islet located within Majuro Lagoon in the Marshall Islands.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6c864481908507290282cc6d25 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.