Triple

T12219419
Position Surface form Disambiguated ID Type / Status
Subject Ralph Nathaniel Twisleton-Wykeham-Fiennes E291171 entity
Predicate sibling P363 FINISHED
Object Magnus Fiennes E178452 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: Magnus Fiennes | Statement: [Ralph Nathaniel Twisleton-Wykeham-Fiennes, sibling, Magnus Fiennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnus Fiennes
Context triple: [Ralph Nathaniel Twisleton-Wykeham-Fiennes, sibling, Magnus Fiennes]
  • A. Magnus Fiennes chosen
    Magnus Fiennes is a British composer, record producer, and songwriter known for his work in film, television, and pop music.
  • B. Mark Fiennes
    Mark Fiennes was an English photographer and illustrator, best known as the father of actors Ralph and Joseph Fiennes.
  • C. Joseph Fiennes
    Joseph Fiennes is an English actor known for his roles in films such as "Shakespeare in Love" and various historical and dramatic productions in both cinema and television.
  • D. William Fiennes
    William Fiennes is an English writer and memoirist best known for his acclaimed books "The Snow Geese" and "The Music Room."
  • E. Ralph Fiennes
    Ralph Fiennes is an acclaimed English actor and filmmaker known for his intense, nuanced performances in films such as Schindler's List, the Harry Potter series, and The Grand Budapest Hotel.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c951f5881908db6edfda1153d6f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717f930c8190ad4713f1040d552a completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:51 p.m.