Triple

T16739712
Position Surface form Disambiguated ID Type / Status
Subject Fiennes family E406804 entity
Predicate hasNotableMember P304 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: [Fiennes family, hasNotableMember, Magnus Fiennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnus Fiennes
Context triple: [Fiennes family, hasNotableMember, 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. Thomas Fiennes
    Thomas Fiennes was a member of the English noble Fiennes family, historically associated with titles such as Baron Dacre and known for its long lineage in British aristocracy.
  • C. Mark Fiennes
    Mark Fiennes was an English photographer and illustrator, best known as the father of actors Ralph and Joseph Fiennes.
  • D. 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.
  • E. William Fiennes
    William Fiennes is an English writer and memoirist best known for his acclaimed books "The Snow Geese" and "The Music Room."
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3d4fa48190b0db8f10a39d3ad8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf92b148190825778809bc4aac2 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:20 a.m.