Triple

T7975485
Position Surface form Disambiguated ID Type / Status
Subject Sven E185432 entity
Predicate associatedWith P37 FINISHED
Object Olaf E57859 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: Olaf | Statement: [Sven, associatedWith, Olaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olaf
Context triple: [Sven, associatedWith, Olaf]
  • A. Olaf chosen
    Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
  • B. Olaf Guthfrithson
    Olaf Guthfrithson was a 10th-century Viking king of Dublin and Northumbria known for his campaigns in northern Britain and involvement in the power struggles between Norse, English, and Scottish rulers.
  • C. Olaf Haraldsson
    Olaf Haraldsson, also known as Saint Olaf, was an 11th-century king of Norway whose efforts to consolidate Christianity and royal power made him a central figure in Norwegian history and later its patron saint.
  • D. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • E. Kristoff
    Kristoff is a rugged, kind-hearted ice harvester and one of the central human protagonists in Disney's animated film "Frozen."
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf42a508190bb661fce34ec0151 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe086fc08190b41a2eb2193f6675 completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:14 p.m.