Triple

T20038375
Position Surface form Disambiguated ID Type / Status
Subject Ruth Roman E497341 entity
Predicate name P16 FINISHED
Object Ruth Roman 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: Ruth Roman | Statement: [Ruth Roman, name, Ruth Roman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Roman
Context triple: [Ruth Roman, name, Ruth Roman]
  • A. Ruth Roman chosen
    Ruth Roman was an American film and television actress best known for her leading role in Alfred Hitchcock’s thriller "Strangers on a Train" (1951).
  • B. Shelley Winters
    Shelley Winters was an acclaimed American actress known for her versatile performances in films such as "A Place in the Sun," "The Diary of Anne Frank," and "The Poseidon Adventure," earning multiple Academy Awards over her long career.
  • C. Sylvia Sidney
    Sylvia Sidney was an American actress known for her work in 1930s crime dramas and later roles in films like "Beetlejuice" and "Mars Attacks!".
  • D. Anne Baxter
    Anne Baxter was an American actress known for her Academy Award–winning and nominated performances in classic films such as "The Razor's Edge," "All About Eve," and "The Ten Commandments."
  • E. Gloria Grahame
    Gloria Grahame was an American film actress known for her sultry screen presence and acclaimed roles in classic Hollywood films noir and dramas of the 1940s and 1950s.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e9e99c81909b7d50eac893c414 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.