Triple

T6485932
Position Surface form Disambiguated ID Type / Status
Subject Nina Foch E146509 entity
Predicate name P16 FINISHED
Object Nina Foch E146509 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: Nina Foch | Statement: [Nina Foch, name, Nina Foch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Foch
Context triple: [Nina Foch, name, Nina Foch]
  • A. Nina Foch chosen
    Nina Foch was a Dutch-born American actress known for her poised, often aristocratic roles in classic Hollywood films and for her work as a respected acting teacher.
  • B. Vera de Bosset
    Vera de Bosset was a Russian-born dancer and socialite best known as the longtime companion and later second wife of composer Igor Stravinsky.
  • C. Leila Hyams
    Leila Hyams was an American film actress of the late silent and early sound eras, known for her roles in classic horror and pre-Code films of the 1930s.
  • D. Helen Morgan
    Helen Morgan was an American torch singer and actress of the 1920s and 1930s, best known for her emotionally charged nightclub performances and her iconic role as Julie LaVerne in the musical "Show Boat."
  • E. Miriam Hopkins
    Miriam Hopkins was an American film and stage actress best known for her work in 1930s Hollywood, including roles in pre-Code dramas and comedies such as "Trouble in Paradise" and "Dr. Jekyll and Mr. Hyde."
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a706d4c8190b7a3cc8855abcecb completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f6db074819089795c29cb4f6699 completed March 28, 2026, 1:31 a.m.
Created at: March 22, 2026, 4:52 p.m.