Triple

T6183852
Position Surface form Disambiguated ID Type / Status
Subject A Letter to Three Wives E138007 entity
Predicate stars P1956 FINISHED
Object Linda Darnell E244618 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: Linda Darnell | Statement: [A Letter to Three Wives, stars, Linda Darnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Darnell
Context triple: [A Letter to Three Wives, stars, Linda Darnell]
  • A. Linda Darnell chosen
    Linda Darnell was an American film actress of the 1940s and 1950s, known for her beauty and roles in Hollywood classics such as "Forever Amber" and "A Letter to Three Wives."
  • B. 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.
  • C. Ruth Roman
    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).
  • D. 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!".
  • E. 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."
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712707de88190b408ab01dd025954 completed March 27, 2026, 11:27 p.m.
Created at: March 22, 2026, 4:19 p.m.