Triple

T3097307
Position Surface form Disambiguated ID Type / Status
Subject Caterina E64628 entity
Predicate equivalentForm P6530 FINISHED
Object Catriona E199668 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: Catriona | Statement: [Caterina, equivalentForm, Catriona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catriona
Context triple: [Caterina, equivalentForm, Catriona]
  • A. Catriona chosen
    Catriona is a feminine given name of Gaelic origin, commonly used in Scotland and Ireland and often considered a variant of Katherine.
  • B. Catriona
    Catriona is a historical adventure novel by Robert Louis Stevenson that continues the story begun in Kidnapped, following David Balfour’s further trials and romance in 18th-century Scotland and the Netherlands.
  • C. Fiona
    Fiona is an American singer-songwriter and pianist known for her emotionally intense, critically acclaimed alternative music.
  • D. Lorna
    Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
  • E. Lucinda
    Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f563524819084ae75c024b8291d completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:03 p.m.