Triple

T18139785
Position Surface form Disambiguated ID Type / Status
Subject Melancholia E434230 entity
Predicate editor P1954 FINISHED
Object Molly Marlene Stensgaard 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: Molly Marlene Stensgaard | Statement: [Melancholia, editor, Molly Marlene Stensgaard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Marlene Stensgaard
Context triple: [Melancholia, editor, Molly Marlene Stensgaard]
  • A. Molly Marlene Stensgaard chosen
    Molly Marlene Stensgaard is a Danish film editor best known for her long-standing collaboration with director Lars von Trier on several of his critically acclaimed films.
  • B. Molly Jensen
    Molly Jensen is a central character in the romantic fantasy film "Ghost," known as the grieving artist whose love transcends death.
  • C. Martha Nielsen
    Martha Nielsen is a central character in the German sci-fi thriller series "Dark," whose complex relationships and time-travel entanglements are pivotal to the show's overarching mystery.
  • D. Mona Jensen
    Mona Jensen is the central protagonist of the Danish medical drama film "The Kingdom," around whom much of the story’s hospital-based mystery and tension revolves.
  • E. Annette Stroyberg
    Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
  • 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.