Triple

T14365213
Position Surface form Disambiguated ID Type / Status
Subject Jeanne Crain E356213 entity
Predicate birthName P65 FINISHED
Object Jeanne Elizabeth Crain E356213 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: Jeanne Elizabeth Crain | Statement: [Jeanne Crain, birthName, Jeanne Elizabeth Crain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeanne Elizabeth Crain
Context triple: [Jeanne Crain, birthName, Jeanne Elizabeth Crain]
  • A. Jeanne Crain chosen
    Jeanne Crain was an American film actress best known for her roles in 1940s and 1950s Hollywood dramas and musicals, including several acclaimed performances that earned her an Academy Award nomination.
  • B. Barbara Boothe
    Barbara Boothe is an American woman best known as the mother of film producer and Skydance Media founder David Ellison.
  • C. Joan Lorring
    Joan Lorring was a Hong Kong–born American actress best known for her acclaimed film and television roles in the 1940s and 1950s, including an Academy Award–nominated performance in "The Corn Is Green."
  • D. Eileen Morrow
    Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
  • E. Lesley Morrow
    Lesley Morrow is an American literacy educator and researcher known for her influential work on early childhood literacy development and reading instruction.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bbf21a48190921e99685c7ef2b9 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:15 a.m.