Triple

T9679790
Position Surface form Disambiguated ID Type / Status
Subject Music of the Spheres E234250 entity
Predicate producer P490 FINISHED
Object Oscar Holter E798234 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: Oscar Holter | Statement: [Music of the Spheres, producer, Oscar Holter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Holter
Context triple: [Music of the Spheres, producer, Oscar Holter]
  • A. Oscar Holter chosen
    Oscar Holter is a Swedish music producer and songwriter best known for co-producing major pop hits with artists like The Weeknd.
  • B. Oscar Lorkowski
    Oscar Lorkowski is a young boy in the film "Sunshine Cleaning," serving as the son of protagonist Rose Lorkowski and a key emotional anchor in the story.
  • C. Hans Axgil
    Hans Axgil is a fictional character in the film "The Danish Girl," portrayed as a compassionate childhood friend and later love interest who supports Lili Elbe through her gender transition.
  • D. Oscar Torp
    Oscar Torp was a Norwegian Labour Party politician who served as Prime Minister of Norway in the early 1950s and held several other key governmental roles during his career.
  • E. Frederic Knudtson
    Frederic Knudtson was an American film editor known for his work on numerous Hollywood productions in the mid-20th century.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9c586c8190abc0ab1771bf6c5c completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c3ffbf848190a3e444068fea0a4b completed April 5, 2026, 2:07 a.m.
Created at: March 30, 2026, 8:16 p.m.