Triple

T13437484
Position Surface form Disambiguated ID Type / Status
Subject Kidnapped E320266 entity
Predicate sequel P1961 FINISHED
Object Catriona E320269 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: [Kidnapped, sequel, Catriona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catriona
Context triple: [Kidnapped, sequel, Catriona]
  • A. Catriona
    Catriona is a feminine given name of Gaelic origin, commonly used in Scotland and Ireland and often considered a variant of Katherine.
  • B. Catriona chosen
    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. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • D. Isobel
    Isobel is a feminine given name, typically considered a variant of Isabel or Isabella, used in various English-speaking and European cultures.
  • E. Reaghan
    Reaghan is a given name that functions as an alternative spelling variant of the name Reagan.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee42a8c8190a85716b4a6db335e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547880d48190af9b30e4e521a952 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:40 p.m.