Triple

T7681753
Position Surface form Disambiguated ID Type / Status
Subject María Dolores Diéguez E174010 entity
Predicate notableRelative P367 FINISHED
Object Joseph Fiennes E30419 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: Joseph Fiennes | Statement: [María Dolores Diéguez, notableRelative, Joseph Fiennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Fiennes
Context triple: [María Dolores Diéguez, notableRelative, Joseph Fiennes]
  • A. Joseph Fiennes chosen
    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.
  • B. Magnus Fiennes
    Magnus Fiennes is a British composer, record producer, and songwriter known for his work in film, television, and pop music.
  • C. Mark Fiennes
    Mark Fiennes was an English photographer and illustrator, best known as the father of actors Ralph and Joseph Fiennes.
  • D. Jacob Fiennes
    Jacob Fiennes is a member of the Fiennes family, known as a relative of English actor Joseph Fiennes.
  • E. Peter Firth
    Peter Firth is an English actor best known for his roles in the film "Equus" and the television series "Spooks" (MI-5).
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8eefc58f08190b6d57608a2a296c8 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 4:01 p.m.