Triple

T577994
Position Surface form Disambiguated ID Type / Status
Subject Frost/Nixon E13797 entity
Predicate castMember P1668 FINISHED
Object Michael Sheen E77166 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: Michael Sheen | Statement: [Frost/Nixon, castMember, Michael Sheen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Sheen
Context triple: [Frost/Nixon, castMember, Michael Sheen]
  • A. Michael Sheen chosen
    Michael Sheen is a Welsh actor known for his versatile performances in film, television, and theatre, including prominent roles in projects like "Frost/Nixon," "The Queen," and "Good Omens."
  • B. Kevin Whately
    Kevin Whately is an English actor best known for his role as Detective Sergeant Robbie Lewis in the television series "Inspector Morse" and its spin-off "Lewis."
  • C. John Simm
    John Simm is an English actor and musician best known for his roles in television series such as "Life on Mars," "Doctor Who," and "State of Play."
  • D. Laurence Fox
    Laurence Fox is an English actor and political activist known for his role in the TV series "Lewis" and for his outspoken, often controversial public commentary.
  • E. Rupert Everett
    Rupert Everett is an English actor and writer known for his sophisticated screen presence and roles in films such as "My Best Friend’s Wedding" and "An Ideal Husband."
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b69fed88190b5558d4ebd5047a1 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6d19248190a5a57930153a208f completed March 2, 2026, 1:02 p.m.
Created at: March 1, 2026, 7:33 p.m.