Triple

T9616993
Position Surface form Disambiguated ID Type / Status
Subject Snowgies E232242 entity
Predicate relatedTo P37 FINISHED
Object Olaf E173080 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: [Snowgies, relatedTo, Olaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olaf
Context triple: [Snowgies, relatedTo, Olaf]
  • A. Olaf
    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 chosen
    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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaf3a088190a00a7750c25b6c42 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f66dba08190bf8b76cf7a248746 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:09 p.m.