Triple

T7952295
Position Surface form Disambiguated ID Type / Status
Subject Deep Valley E184644 entity
Predicate screenwriter P2831 FINISHED
Object Salka Viertel E429159 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: Salka Viertel | Statement: [Deep Valley, screenwriter, Salka Viertel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salka Viertel
Context triple: [Deep Valley, screenwriter, Salka Viertel]
  • A. Salka Viertel chosen
    Salka Viertel was an Austrian-American screenwriter and actress best known for her collaborations with Greta Garbo on several classic Hollywood films.
  • B. Lilla Zuckerman
    Lilla Zuckerman is a television writer and producer known for her work on series such as Poker Face and other genre and drama shows.
  • C. Elka Ostrovsky
    Elka Ostrovsky is a sharp-tongued, eccentric elderly woman and main character on the sitcom "Hot in Cleveland," portrayed by Betty White.
  • D. Dorothy Herzka
    Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
  • E. Gwendolyn Kopechne
    Gwendolyn Kopechne is an individual whose name appears as an alternate or formal version of Gwen Kopechne, likely referring to the same person.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5657baf48190a84026dfb347a5ad completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:10 p.m.