Triple

T4230449
Position Surface form Disambiguated ID Type / Status
Subject Oslo Philharmonic E94566 entity
Predicate hasConductor P20920 FINISHED
Object Arvid Engegård
Arvid Engegård is a Norwegian conductor and violinist known for his work with leading Scandinavian orchestras and chamber ensembles.
E427902 NE FINISHED

How this triple was built (4 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: Arvid Engegård | Statement: [Oslo Philharmonic, hasConductor, Arvid Engegård]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arvid Engegård
Context triple: [Oslo Philharmonic, hasConductor, Arvid Engegård]
  • A. Kåre Hedebrant
    Kåre Hedebrant is a Swedish actor best known for his acclaimed childhood performance as the young boy Oskar in the vampire film "Let the Right One In."
  • B. Lars Leijonborg
    Lars Leijonborg is a Swedish Liberal Party politician who served as party leader and later as Minister for Higher Education and Research.
  • C. Leif Sjöberg
    Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
  • D. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • E. Andreas Norlén
    Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arvid Engegård
Triple: [Oslo Philharmonic, hasConductor, Arvid Engegård]
Generated description
Arvid Engegård is a Norwegian conductor and violinist known for his work with leading Scandinavian orchestras and chamber ensembles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arvid Engegård
Target entity description: Arvid Engegård is a Norwegian conductor and violinist known for his work with leading Scandinavian orchestras and chamber ensembles.
  • A. Kåre Hedebrant
    Kåre Hedebrant is a Swedish actor best known for his acclaimed childhood performance as the young boy Oskar in the vampire film "Let the Right One In."
  • B. Lars Leijonborg
    Lars Leijonborg is a Swedish Liberal Party politician who served as party leader and later as Minister for Higher Education and Research.
  • C. Leif Sjöberg
    Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
  • D. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • E. Andreas Norlén
    Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
  • F. None of above. chosen

Provenance (5 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e62e3c881909ffb9269ba9018b9 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77632d08190ab7c12986e2cee61 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5c24a46148190b0be076df2b9757a completed March 14, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_69b5c2d130188190acc9cfd5a64ab0ee completed March 14, 2026, 8:19 p.m.
Created at: March 12, 2026, 11:05 p.m.