Triple

T21715976
Position Surface form Disambiguated ID Type / Status
Subject The Cruel Sea E536028 entity
Predicate castMember P1668 FINISHED
Object Virginia McKenna NE NERFINISHED

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: Virginia McKenna | Statement: [The Cruel Sea, castMember, Virginia McKenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia McKenna
Context triple: [The Cruel Sea, castMember, Virginia McKenna]
  • A. Virginia McKenna chosen
    Virginia McKenna is a British actress and wildlife campaigner best known for her role in the film "Born Free" and for co-founding the Born Free Foundation.
  • B. Roz Kaveney
    Roz Kaveney is a British writer, critic, and activist known for her influential work on science fiction and fantasy, as well as for her contributions to feminist and LGBTQ+ discourse.
  • C. Bitsie Tulloch
    Bitsie Tulloch is an American actress best known for her role as Juliette Silverton/Eve on the television series "Grimm."
  • D. Kathleen Barr
    Kathleen Barr is a Canadian voice actress known for her extensive work in animation and dubbing, including numerous roles in popular children's television series and films.
  • E. Edie Ochiltree
    Edie Ochiltree is a memorable beggar and veteran who serves as a moral compass and source of local wisdom in Sir Walter Scott’s novel "The Antiquary."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96ab4c88190b76f4a6b7c855039 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.