Triple

T10776476
Position Surface form Disambiguated ID Type / Status
Subject Match Point E254209 entity
Predicate castMember P1668 FINISHED
Object Jonathan Rhys Meyers E248659 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: Jonathan Rhys Meyers | Statement: [Match Point, castMember, Jonathan Rhys Meyers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Rhys Meyers
Context triple: [Match Point, castMember, Jonathan Rhys Meyers]
  • A. Jonathan Rhys Meyers chosen
    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.
  • 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. 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."
  • D. Bob Morley
    Bob Morley is an Australian actor best known for playing Bellamy Blake on the post-apocalyptic television series "The 100."
  • E. Jeremy Northam
    Jeremy Northam is an English actor known for his versatile film and television roles, including period dramas and character-driven ensemble pieces.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.