Triple

T11279288
Position Surface form Disambiguated ID Type / Status
Subject Golden Calf for Best Actress E267018 entity
Predicate notableRecipient P108 FINISHED
Object Carice van Houten E226238 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: Carice van Houten | Statement: [Golden Calf for Best Actress, notableRecipient, Carice van Houten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carice van Houten
Context triple: [Golden Calf for Best Actress, notableRecipient, Carice van Houten]
  • A. Carice van Houten chosen
    Carice van Houten is a Dutch actress best known internationally for her role as Melisandre in the television series "Game of Thrones."
  • B. Ana Gasteyer
    Ana Gasteyer is an American actress and comedian best known for her work on "Saturday Night Live" and roles in films and television, including the cult teen comedy "Mean Girls."
  • C. Sylvia Hoeks
    Sylvia Hoeks is a Dutch actress best known internationally for her role as the replicant Luv in the science fiction film "Blade Runner 2049."
  • D. Annette Kurschus
    Annette Kurschus is a German Protestant theologian and bishop who has served as a leading figure in the Evangelical Church in Germany.
  • E. Jeanne Tripplehorn
    Jeanne Tripplehorn is an American actress known for her film debut in the thriller "Basic Instinct" and prominent roles in movies like "The Firm" and the TV series "Big Love."
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f46308348190a47f73030cae0be5 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.