Triple

T15190761
Position Surface form Disambiguated ID Type / Status
Subject In America E363003 entity
Predicate writer P1360 FINISHED
Object Kirsten Sheridan 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: Kirsten Sheridan | Statement: [In America, writer, Kirsten Sheridan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirsten Sheridan
Context triple: [In America, writer, Kirsten Sheridan]
  • A. Kirsten Sheridan chosen
    Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
  • B. Kirsten Nelson
    Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
  • C. Kirsten Bennett
    Kirsten Bennett is a central character from the television drama "Party of Five," known primarily as Charlie Salinger’s long-term love interest and eventual wife.
  • D. Kirsten Corley
    Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
  • E. Kirsten Potter
    Kirsten Potter is an American actress and voice actress known for her work in video games, animation, and television.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
Created at: April 10, 2026, 3:10 a.m.