Triple

T8404759
Position Surface form Disambiguated ID Type / Status
Subject Anna E198466 entity
Predicate friend P8712 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: [Anna, friend, Olaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olaf
Context triple: [Anna, friend, 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83116bf48190894bd5d5465520ef completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d34214481908503c662eb060ff7 completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:05 p.m.