Triple

T1748391
Position Surface form Disambiguated ID Type / Status
Subject Luther E38385 entity
Predicate castMember P1668 FINISHED
Object Ruth Wilson E118953 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: Ruth Wilson | Statement: [Luther, castMember, Ruth Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Wilson
Context triple: [Luther, castMember, Ruth Wilson]
  • A. Ruth Wilson chosen
    Ruth Wilson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including prominent roles in series like "Luther" and "The Affair."
  • B. Tamsin Greig
    Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
  • C. Eve Myles
    Eve Myles is a Welsh actress best known for her leading roles in the science fiction series "Torchwood" and the drama "Keeping Faith."
  • D. Margot Tennant
    Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
  • E. Michelle Gomez
    Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf39b08881908d798b3eae51dbae completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:31 p.m.