Triple

T20927412
Position Surface form Disambiguated ID Type / Status
Subject Anne-Mette Rasmussen E515380 entity
Predicate name P16 FINISHED
Object Anne-Mette Rasmussen 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: Anne-Mette Rasmussen | Statement: [Anne-Mette Rasmussen, name, Anne-Mette Rasmussen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne-Mette Rasmussen
Context triple: [Anne-Mette Rasmussen, name, Anne-Mette Rasmussen]
  • A. Anne-Mette Rasmussen chosen
    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.
  • B. Kirstine Sørensen
    Kirstine Sørensen was the wife of Danish carpenter and toy maker Ole Kirk Christiansen, the founder of the LEGO Group.
  • C. Christianne Jensen
    Christianne Jensen is a vocalist known for her guest appearance on Jon Bellion’s album "Glory Sound Prep."
  • D. Anne Marie Jørgensen
    Anne Marie Jørgensen was the wife of Norwegian Conservative politician and former Prime Minister Kåre Willoch.
  • E. Mette-Marie Kongsved
    Mette-Marie Kongsved is a Danish film producer known for her work on genre and independent films, including the horror-comedy "Come to Daddy."
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f652c3188190ace50415b3b30b83 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.