Triple

T7034025
Position Surface form Disambiguated ID Type / Status
Subject Joseph Alberic Twisleton-Wykeham-Fiennes E163335 entity
Predicate familyName P18 FINISHED
Object Fiennes E175427 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: Fiennes | Statement: [Joseph Alberic Twisleton-Wykeham-Fiennes, familyName, Fiennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiennes
Context triple: [Joseph Alberic Twisleton-Wykeham-Fiennes, familyName, Fiennes]
  • A. Fiennes chosen
    Fiennes is an English surname most prominently associated with a family of notable actors and explorers, including Ralph and Joseph Fiennes.
  • B. Jacob Fiennes
    Jacob Fiennes is a member of the Fiennes family, known as a relative of English actor Joseph Fiennes.
  • C. Magnus Fiennes
    Magnus Fiennes is a British composer, record producer, and songwriter known for his work in film, television, and pop music.
  • D. 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.
  • E. 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.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2118fc88190a0751ca18eafb4a5 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:36 p.m.