Triple

T21878154
Position Surface form Disambiguated ID Type / Status
Subject Here Comes Mr. Jordan E540205 entity
Predicate castMember P1668 FINISHED
Object Evelyn Keyes 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: Evelyn Keyes | Statement: [Here Comes Mr. Jordan, castMember, Evelyn Keyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evelyn Keyes
Context triple: [Here Comes Mr. Jordan, castMember, Evelyn Keyes]
  • A. Evelyn Keyes chosen
    Evelyn Keyes was an American film actress best known for her role as Suellen O'Hara in the classic 1939 film "Gone with the Wind."
  • B. Helen Chandler
    Helen Chandler was an American stage and film actress best known for her portrayal of Mina Seward in the 1931 horror classic "Dracula."
  • C. Linda Harrison
    Linda Harrison is an American actress best known for her role as Nova in the original "Planet of the Apes" films.
  • D. Ora Baxter
    Ora Baxter is the mother of Jody Baxter, a central character in Marjorie Kinnan Rawlings' classic novel "The Yearling."
  • E. Ora Baxter
    Ora Baxter is a fictional character portrayed by actress Jane Wyman, likely featured in a mid-20th-century film or television production.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33c012c819096d0f7b2ffdc7a2f completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:03 p.m.