Triple

T20650488
Position Surface form Disambiguated ID Type / Status
Subject Mrs Wilson E507476 entity
Predicate featuresCharacter P626 FINISHED
Object Dorothy Wilson 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: Dorothy Wilson | Statement: [Mrs Wilson, featuresCharacter, Dorothy Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Wilson
Context triple: [Mrs Wilson, featuresCharacter, Dorothy Wilson]
  • A. Dorothy Wilson chosen
    Dorothy Wilson was an American film actress of the 1930s known for her roles in Hollywood dramas and adventure films.
  • B. Dorothy Lee Wilson
    Dorothy Lee Wilson was the wife of American businessman Kemmons Wilson, the founder of the Holiday Inn hotel chain.
  • C. Dorothy Shaw
    Dorothy Shaw is the witty, down-to-earth brunette showgirl and best friend of Lorelei Lee in the musical comedy "Gentlemen Prefer Blondes."
  • D. Gladys Mary Wilson
    Gladys Mary Wilson, Baroness Wilson of Rievaulx, was a British poet and the wife of former UK Prime Minister Harold Wilson.
  • E. Dorothy Clarke Wilson
    Dorothy Clarke Wilson was an American author and playwright best known for her historical and biographical novels, including the work that inspired the film "The Ten Commandments."
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.