Triple

T23389437
Position Surface form Disambiguated ID Type / Status
Subject The Interpreter E593971 entity
Predicate starring P1507 FINISHED
Object Jesper Christensen 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: Jesper Christensen | Statement: [The Interpreter, starring, Jesper Christensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesper Christensen
Context triple: [The Interpreter, starring, Jesper Christensen]
  • A. Jesper Christensen chosen
    Jesper Christensen is a Danish actor known internationally for his roles in European cinema and major Hollywood films, including the James Bond series.
  • B. Jens Christensen
    Jens Christensen is a relatively common Scandinavian personal name shared by multiple individuals across fields such as politics, sports, and academia.
  • C. Niels Christensen
    Niels Christensen is a relatively obscure individual whose name is notably borne by at least one person of some recorded significance, though specific widely known achievements are not clearly documented.
  • D. Soren Christensen
    Soren Christensen is a writer best known for his work on the song "Love Generation."
  • E. Jens Faurschou
    Jens Faurschou is a Danish art collector and gallerist known for establishing influential contemporary art spaces and promoting international artists through the Faurschou Foundation.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49a7c14819082aab826715976c5 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.