Triple

T20200765
Position Surface form Disambiguated ID Type / Status
Subject Murder at the Vanities E493209 entity
Predicate hasCastMember P2308 FINISHED
Object Jessie Ralph 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: Jessie Ralph | Statement: [Murder at the Vanities, hasCastMember, Jessie Ralph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie Ralph
Context triple: [Murder at the Vanities, hasCastMember, Jessie Ralph]
  • A. Jessie Ralph chosen
    Jessie Ralph was an American character actress of stage and screen, best remembered for her supporting roles in classic 1930s and 1940s Hollywood films.
  • B. Jessie Robins
    Jessie Robins was a British character actress best known for her supporting role in the Beatles' 1967 film "Magical Mystery Tour."
  • C. June Winchell
    June Winchell was the wife of influential American newspaper and radio gossip columnist Walter Winchell.
  • D. Elisha Cook Jr.
    Elisha Cook Jr. was an American character actor best known for his portrayals of nervous, hapless, or morally compromised men in classic film noir and crime movies.
  • E. Lee Tracy
    Lee Tracy was an American stage and film actor best known for his rapid-fire delivery and portrayals of fast-talking reporters and politicians in early 20th-century cinema.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.