Triple

T10301423
Position Surface form Disambiguated ID Type / Status
Subject Espen Lind E241638 entity
Predicate name P16 FINISHED
Object Espen Lind E241638 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: Espen Lind | Statement: [Espen Lind, name, Espen Lind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espen Lind
Context triple: [Espen Lind, name, Espen Lind]
  • A. Espen Lind chosen
    Espen Lind is a Norwegian singer, songwriter, and producer known for his solo hits and for writing and producing songs for international pop artists.
  • B. Espen Øino
    Espen Øino is a renowned Norwegian naval architect and superyacht designer known for creating some of the world’s largest and most innovative luxury vessels.
  • C. Geir Karlsen
    Geir Karlsen is a Norwegian business executive best known for leading the low-cost airline Norwegian Air Shuttle through a major financial restructuring and recovery.
  • D. Magnus Jøndal
    Magnus Jøndal is a Norwegian professional handball player known for his successful international career as a fast and prolific left wing for Norway.
  • E. Eivind Aadland
    Eivind Aadland is a Norwegian conductor known for his interpretations of Scandinavian repertoire and collaborations with leading orchestras such as the Oslo Philharmonic.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30716d8819085e25a78e6af3b9d completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794d34978819083ce709fa2dcaca7 completed April 9, 2026, noon
Created at: April 6, 2026, 11:44 a.m.