Triple

T22980884
Position Surface form Disambiguated ID Type / Status
Subject George Forrest E571459 entity
Predicate notableWork P4 FINISHED
Object Song of Norway 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: Song of Norway | Statement: [George Forrest, notableWork, Song of Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Song of Norway
Context triple: [George Forrest, notableWork, Song of Norway]
  • A. Song of Norway chosen
    Song of Norway is a 1944 operetta-turned-musical film adaptation based on the life and music of Norwegian composer Edvard Grieg.
  • B. Allsången
    Allsången is a popular Swedish sing-along television show held at Skansen in Stockholm, known for its live music performances and audience participation.
  • C. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • D. Sång till Norden
    Sång till Norden is the original Swedish patriotic song that later became known as "Du gamla, Du fria," widely regarded as Sweden’s de facto national anthem.
  • E. Our Song
    "Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829589548190863619aebcae026c completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.