Triple

T18141743
Position Surface form Disambiguated ID Type / Status
Subject Devereux E434278 entity
Predicate hasVariantSpelling P457 FINISHED
Object Deveraux 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: Deveraux | Statement: [Devereux, hasVariantSpelling, Deveraux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deveraux
Context triple: [Devereux, hasVariantSpelling, Deveraux]
  • A. Deveraux chosen
    Deveraux is a French-origin surname commonly associated with various real and fictional individuals.
  • B. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • C. Stevonne
    Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
  • D. Dettah
    Dettah is a small Dene First Nations community located near Yellowknife in the Northwest Territories of Canada.
  • E. Donoven
    Donoven is an alternative spelling of the given name Donovan, which is of Irish origin and used as a masculine first name and surname.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0c8aa88190b4ded7e6d05f6edf completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.