Triple

T22802705
Position Surface form Disambiguated ID Type / Status
Subject Do Re Mi E564441 entity
Predicate character P662 FINISHED
Object Kay Cram 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: Kay Cram | Statement: [Do Re Mi, character, Kay Cram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kay Cram
Context triple: [Do Re Mi, character, Kay Cram]
  • A. Kay Cram chosen
    Kay Cram is a central character in the musical "Do Re Mi," typically portrayed as the long-suffering yet supportive wife of the hustler protagonist, Hubie Cram.
  • B. Kay Lemp
    Kay Lemp is a member of the Lemp sisters, a group of sisters known collectively by their family name.
  • C. Kelly Cramer
    Kelly Cramer is a fictional character from the soap opera "One Life to Live," known as a member of the influential Cramer family.
  • D. Krisanne Johnson
    Krisanne Johnson is an American documentary photographer recognized for her intimate, long-term projects on youth, gender, and social change in Southern Africa and the United States.
  • E. Dana Cranmer
    Dana Cranmer is an art curator known for her work on major contemporary exhibitions, including serving as curator for Cai Guo-Qiang’s "I Want to Believe."
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
Created at: April 17, 2026, 3:31 p.m.