Triple

T18140454
Position Surface form Disambiguated ID Type / Status
Subject Robert Award for Best Actress in a Leading Role E434246 entity
Predicate hasAwardedPerson P2391 FINISHED
Object Iben Hjejle 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: Iben Hjejle | Statement: [Robert Award for Best Actress in a Leading Role, hasAwardedPerson, Iben Hjejle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iben Hjejle
Context triple: [Robert Award for Best Actress in a Leading Role, hasAwardedPerson, Iben Hjejle]
  • A. Iben Hjejle chosen
    Iben Hjejle is a Danish actress best known internationally for her role opposite John Cusack in the romantic comedy-drama film "High Fidelity."
  • B. Flemming Christensen
    Flemming Christensen is a Danish former professional footballer and coach known for his career as a forward in Danish and European clubs.
  • C. Jørn Mikkelsen
    Jørn Mikkelsen is a Danish journalist best known for leading the national newspaper Jyllands-Posten as its editor-in-chief.
  • D. Bodil Ipsen
    Bodil Ipsen was a prominent Danish actress and film director, regarded as one of the most significant figures in early Danish cinema and theatre.
  • E. Lars Mikkelsen
    Lars Mikkelsen is a Danish actor known for his roles in series such as "The Killing," "Sherlock," and "House of Cards," as well as for his work in Danish film and television.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.