Triple

T2918328
Position Surface form Disambiguated ID Type / Status
Subject Greta Garbo E78659 entity
Predicate pseudonym P39 FINISHED
Object Greta Garbo E78659 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: Greta Garbo | Statement: [Greta Garbo, pseudonym, Greta Garbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greta Garbo
Context triple: [Greta Garbo, pseudonym, Greta Garbo]
  • A. Greta Garbo chosen
    Greta Garbo was a legendary Swedish-American film actress of the silent and early sound eras, renowned for her enigmatic screen presence and roles in classics such as "Anna Karenina" and "Camille."
  • B. Rita Hayworth
    Rita Hayworth was a celebrated American film actress and dancer of Hollywood’s Golden Age, famed for her glamorous screen presence and iconic roles in 1940s musicals and dramas.
  • C. Nina Foch
    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.
  • D. 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.
  • E. Marlene Dietrich
    Marlene Dietrich was a German-American actress and singer renowned for her iconic film roles, distinctive voice, and androgynous, glamorous persona in classic Hollywood cinema.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a41b4c81909d8ace8ab270ed3c completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0866113688190ae222813b017c69f completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:54 p.m.