Triple

T18139783
Position Surface form Disambiguated ID Type / Status
Subject Melancholia E434230 entity
Predicate producer P490 FINISHED
Object Louise Vesth 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: Louise Vesth | Statement: [Melancholia, producer, Louise Vesth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Vesth
Context triple: [Melancholia, producer, Louise Vesth]
  • A. Louise Vesth chosen
    Louise Vesth is a Danish film producer known for her work on acclaimed Nordic films and international co-productions.
  • B. Lene Børglum
    Lene Børglum is a Danish film producer known for her collaborations with director Nicolas Winding Refn on several acclaimed independent films.
  • C. Kirstine Sørensen
    Kirstine Sørensen was the wife of Danish carpenter and toy maker Ole Kirk Christiansen, the founder of the LEGO Group.
  • D. Anne-Mette Rasmussen
    Anne-Mette Rasmussen is a Danish public figure best known as the wife of former Danish Prime Minister and NATO Secretary General Anders Fogh Rasmussen.
  • E. Ada Vilstrup
    Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
  • 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.