Triple

T11203156
Position Surface form Disambiguated ID Type / Status
Subject Edie Knightley Righton E265090 entity
Predicate grandfather P979 FINISHED
Object Will Knightley E269153 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: Will Knightley | Statement: [Edie Knightley Righton, grandfather, Will Knightley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Knightley
Context triple: [Edie Knightley Righton, grandfather, Will Knightley]
  • A. Will Knightley chosen
    Will Knightley is a British stage and television actor best known as the father of acclaimed actress Keira Knightley.
  • B. Ben Barnes
    Ben Barnes is an English actor best known for his roles in films like "The Chronicles of Narnia" series and "Dorian Gray," as well as TV shows such as "Westworld" and "Shadow and Bone."
  • C. Dominic Keating
    Dominic Keating is a British actor best known for playing Lieutenant Malcolm Reed on the science fiction television series Star Trek: Enterprise.
  • D. Jonathan Rhys Meyers
    Jonathan Rhys Meyers is an Irish actor best known for his roles in films like "Match Point" and the TV series "The Tudors," in which he portrayed King Henry VIII.
  • E. Matthew Goode
    Matthew Goode is an English actor known for his roles in films such as "Match Point," "The Imitation Game," and "Stoker," as well as TV series like "Downton Abbey" and "The Good Wife."
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4971d537c8190ab53a2ca18d643f3 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.