Triple

T22546486
Position Surface form Disambiguated ID Type / Status
Subject Step Lively E557441 entity
Predicate hasCastMember P2308 FINISHED
Object Anne Jeffreys 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: Anne Jeffreys | Statement: [Step Lively, hasCastMember, Anne Jeffreys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Jeffreys
Context triple: [Step Lively, hasCastMember, Anne Jeffreys]
  • A. Anne Jeffreys chosen
    Anne Jeffreys was an American actress and singer best known for her work in film, television, and on Broadway from the 1940s onward.
  • B. Mary Jeffreys
    Mary Jeffreys was the wife of Alexander Mitchell Palmer, the U.S. Attorney General best known for leading the post–World War I "Palmer Raids" during the Red Scare.
  • C. Anne Gurdon
    Anne Gurdon was an English gentlewoman of the Gurdon family best known as the mother of John Wodehouse, 1st Earl of Kimberley.
  • D. Anne Douglas
    Anne Douglas was a German-born Belgian-American film producer and philanthropist best known as the longtime wife and partner of actor Kirk Douglas.
  • E. Anne Morton
    Anne Morton is a fictional character, likely from a narrative in which she is closely connected to Barbara Morton, who plays a supportive role in her story.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f35b9888190b4e1b50d5097b211 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.