Triple

T9234473
Position Surface form Disambiguated ID Type / Status
Subject The Red Kimona E221901 entity
Predicate writer P1360 FINISHED
Object Dorothy Davenport E896111 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: Dorothy Davenport | Statement: [The Red Kimona, writer, Dorothy Davenport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Davenport
Context triple: [The Red Kimona, writer, Dorothy Davenport]
  • A. Dorothy Davenport chosen
    Dorothy Davenport was an American silent film actress, director, and producer known for her socially conscious films in the early 20th century.
  • B. Dorothy Lyman
    Dorothy Lyman is an American actress and director best known for her roles on the soap opera "All My Children" and the sitcom "Mama's Family."
  • C. Dorothy Arnold
    Dorothy Arnold was a young American socialite whose mysterious 1910 disappearance in New York City became one of the era’s most famous unsolved missing-person cases.
  • D. Dorothy Arnold
    Dorothy Arnold was an American film actress of the 1930s and 1940s who appeared in several Hollywood productions before retiring from the screen.
  • E. Dorothy Bussy
    Dorothy Bussy was an English novelist and translator best known for her close association with French writer André Gide and for translating many of his works into English.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1cca0c8190bf587f54236c9e45 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d62cce008190ae269bbd289625a0 completed April 18, 2026, 12:54 a.m.
Created at: March 30, 2026, 7:29 p.m.