Triple

T15618031
Position Surface form Disambiguated ID Type / Status
Subject Krista E375468 entity
Predicate spellingVariantOf P457 FINISHED
Object Krista (with diacritics in some languages) E375468 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: Krista (with diacritics in some languages) | Statement: [Krista, spellingVariantOf, Krista (with diacritics in some languages)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krista (with diacritics in some languages)
Context triple: [Krista, spellingVariantOf, Krista (with diacritics in some languages)]
  • A. Krista chosen
    Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
  • B. Kristi
    Kristi is a feminine given name commonly used in English-speaking countries, often as a variant of Kristy or Christina.
  • C. Krisy
    Krisy is a diminutive or nickname commonly used for the given name Kristine.
  • D. Krysty
    Krysty is a given name most notably borne by Scottish screenwriter Krysty Wilson-Cairns, known for co-writing the film "1917."
  • E. Kristina
    Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56def20881909f835dd44ab9ac2b completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.