Triple

T21945944
Position Surface form Disambiguated ID Type / Status
Subject Alma Elson E541932 entity
Predicate portrayedBy P1507 FINISHED
Object Vicky Krieps 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: Vicky Krieps | Statement: [Alma Elson, portrayedBy, Vicky Krieps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicky Krieps
Context triple: [Alma Elson, portrayedBy, Vicky Krieps]
  • A. Vicky Krieps chosen
    Vicky Krieps is a Luxembourgish actress known for her acclaimed leading role opposite Daniel Day-Lewis in the period drama film "Phantom Thread."
  • B. Bérénice Bejo
    Bérénice Bejo is a French-Argentine actress best known internationally for her acclaimed performance in the silent film "The Artist."
  • C. Pia Kjærsgaard
    Pia Kjærsgaard is a Danish politician known as a co-founder and long-time leading figure of the right-wing populist Danish People’s Party and a prominent voice in Denmark’s immigration and EU debates.
  • D. Nina Hoss
    Nina Hoss is a German actress acclaimed for her powerful performances in film, television, and theater, particularly through her long-standing collaboration with director Christian Petzold.
  • E. Marion Cotillard
    Marion Cotillard is an acclaimed French actress known for her versatile performances in both French and Hollywood films, including her Oscar-winning role in "La Vie en Rose."
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.