Triple

T3269069
Position Surface form Disambiguated ID Type / Status
Subject Carine E68597 entity
Predicate hasRelatedName P3889 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: [Carine, hasRelatedName, Catriona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catriona
Context triple: [Carine, hasRelatedName, 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 a central character in the Shrek film series, an ogre princess known for her bravery, independence, and unconventional fairy-tale romance with Shrek.
  • D. Fiona
    Fiona is an American singer-songwriter and pianist known for her emotionally intense, critically acclaimed alternative music.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafd0eddc8190834a64f6b8e8e9f9 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e83e11f081909d64287c0902124a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.