Triple

T11371947
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Cumming E269362 entity
Predicate name P16 FINISHED
Object Dorothy Cumming E269362 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 Cumming | Statement: [Dorothy Cumming, name, Dorothy Cumming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Cumming
Context triple: [Dorothy Cumming, name, Dorothy Cumming]
  • A. Dorothy Cumming chosen
    Dorothy Cumming was an Australian-born silent film actress best known for her role as the Virgin Mary in Cecil B. DeMille’s 1927 biblical epic "The King of Kings."
  • B. Dorothy Campbell
    Dorothy Campbell is a fictional character from the television series "Mad Men," known as the socially proper and emotionally distant mother of advertising executive Pete Campbell.
  • C. Dorothy Harvey
    Dorothy Harvey was the first wife of acclaimed American film director and screenwriter John Huston.
  • D. Dorothy McIlwraith
    Dorothy McIlwraith was an American magazine editor best known for her influential mid-20th-century stewardship of the pulp fantasy and horror magazine Weird Tales.
  • E. Dorothy Kingsley
    Dorothy Kingsley was an American screenwriter known for her work on classic mid-20th-century Hollywood musicals and comedies.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8b196881909af9b138661e816d completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:33 p.m.