Triple

T20816465
Position Surface form Disambiguated ID Type / Status
Subject Run for Cover E512451 entity
Predicate stars P1956 FINISHED
Object Viveca Lindfors NE NERFINISHED

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: Viveca Lindfors | Statement: [Run for Cover, stars, Viveca Lindfors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viveca Lindfors
Context triple: [Run for Cover, stars, Viveca Lindfors]
  • A. Viveca Lindfors chosen
    Viveca Lindfors was a Swedish-American actress known for her intense, versatile performances in European and Hollywood films and on stage from the 1940s through the late 20th century.
  • B. Anna-Eva Bergman
    Anna-Eva Bergman was a Norwegian-born painter known for her abstract, minimalist works that often explored light, landscape, and texture through the use of metal leaf and muted color palettes.
  • C. Eva Andersson
    Eva Andersson is a Swedish former model and physician best known for her work with Sports Illustrated and her marriage to hedge fund manager Glenn Dubin.
  • D. Ulla Andersson
    Ulla Andersson is a Swedish model best known for her marriage to legendary music producer Quincy Jones in the 1960s.
  • E. Helena Nilsson
    Helena Nilsson is a Swedish politician known for her involvement in national and regional public service.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f3473c81908c43a2ec242b1acd completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.