Triple

T19664447
Position Surface form Disambiguated ID Type / Status
Subject At San Quentin E472164 entity
Predicate featuresMusician P20942 FINISHED
Object June Carter Cash 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: June Carter Cash | Statement: [At San Quentin, featuresMusician, June Carter Cash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: June Carter Cash
Context triple: [At San Quentin, featuresMusician, June Carter Cash]
  • A. June Carter Cash chosen
    June Carter Cash was an American singer, songwriter, actress, and member of the legendary Carter Family, renowned for her influential role in country music and her collaborations with Johnny Cash.
  • B. Janis Carter
    Janis Carter was an American film and television actress best known for her roles in 1940s and 1950s Hollywood dramas and film noirs.
  • C. Rosanne Cash
    Rosanne Cash is an American singer-songwriter and author, known for her genre-spanning country and Americana music and as the daughter of Johnny Cash.
  • D. Anna Scott Carter
    Anna Scott Carter is the wife of longtime Vanity Fair editor and media figure Graydon Carter.
  • E. Rosalind Cash
    Rosalind Cash was an American actress best known for her work in film, television, and theater from the 1960s through the 1990s, often portraying strong, trailblazing Black women.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416749d48190b141a6acd20c9694 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.