Triple

T9759413
Position Surface form Disambiguated ID Type / Status
Subject Lili E236631 entity
Predicate starring P1507 FINISHED
Object Zsa Zsa Gabor E130182 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: Zsa Zsa Gabor | Statement: [Lili, starring, Zsa Zsa Gabor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zsa Zsa Gabor
Context triple: [Lili, starring, Zsa Zsa Gabor]
  • A. Zsa Zsa Gabor chosen
    Zsa Zsa Gabor was a Hungarian-American actress and socialite famed for her glamorous lifestyle, sharp wit, and numerous high-profile marriages.
  • B. Magda Gabor
    Magda Gabor was a Hungarian-American socialite and actress, best known as the glamorous eldest of the Gabor sisters who became prominent figures in mid-20th-century Hollywood high society.
  • C. Eva Gabor
    Eva Gabor was a Hungarian-American actress and socialite best known for her role as Lisa Douglas on the television sitcom "Green Acres" and for her voice work in several Disney animated films.
  • D. 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.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcdbdbcc8190b2c454729a50f7fb completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:24 p.m.