Triple

T8669444
Position Surface form Disambiguated ID Type / Status
Subject Hayden Christensen E205757 entity
Predicate relative P37 FINISHED
Object Tove Christensen E750316 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: Tove Christensen | Statement: [Hayden Christensen, relative, Tove Christensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tove Christensen
Context triple: [Hayden Christensen, relative, Tove Christensen]
  • A. Tove Christensen chosen
    Tove Christensen is a Canadian film producer and actor, best known for his work behind the scenes on independent films and for being the older brother of actor Hayden Christensen.
  • B. Ada Vilstrup
    Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
  • C. Suzanne Brøgger
    Suzanne Brøgger is a Danish author and essayist known for her provocative, feminist, and often autobiographical explorations of sexuality, identity, and social norms.
  • D. Siv Jensen
    Siv Jensen is a Norwegian politician who served as leader of the right-wing Progress Party and as Norway’s Minister of Finance.
  • E. Charlotte Bruus Christensen
    Charlotte Bruus Christensen is a Danish cinematographer known for her atmospheric, naturalistic visual style in films such as "A Quiet Place" and "Fences."
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf286a364c8190b7f4f9d8243e2548 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:31 p.m.