Triple

T10693261
Position Surface form Disambiguated ID Type / Status
Subject Markus Rygaard E252064 entity
Predicate name P16 FINISHED
Object Markus Rygaard E252064 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: Markus Rygaard | Statement: [Markus Rygaard, name, Markus Rygaard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markus Rygaard
Context triple: [Markus Rygaard, name, Markus Rygaard]
  • A. Markus Rygaard chosen
    Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
  • B. Jesper Rasmussen
    Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
  • C. Mikael Jorgensen
    Mikael Jorgensen is an American musician and keyboardist best known for his long-time role in the alternative rock band Wilco.
  • D. Jonas Jeberg
    Jonas Jeberg is a Danish songwriter and record producer known for crafting pop hits for major international artists.
  • E. Kristian Høgsberg
    Kristian Høgsberg is a Danish software engineer best known as the original creator and lead developer of the Wayland display server protocol used in Linux and other Unix-like systems.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd38c24c8190a105a9dfdf705b38 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998cfeb748190bfff06534d83cf97 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:11 p.m.