Triple

T20708693
Position Surface form Disambiguated ID Type / Status
Subject John Arne Riise E508974 entity
Predicate givenName P17 FINISHED
Object John Arne
John Arne is a Norwegian former professional footballer best known for his long-range shooting and successful spell as a left-back with Liverpool FC and the Norway national team.
E1445508 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: John Arne | Statement: [John Arne Riise, givenName, John Arne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Arne
Context triple: [John Arne Riise, givenName, John Arne]
  • A. Tore Lie
    Tore Lie is a Norwegian former handball player who competed in the 1972 Summer Olympics.
  • B. 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.
  • C. Espen Lind
    Espen Lind is a Norwegian singer, songwriter, and producer known for his solo hits and for writing and producing songs for international pop artists.
  • D. Tore Schei
    Tore Schei is a Norwegian jurist who served as the Chief Justice of the Supreme Court of Norway.
  • E. 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.
  • 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: John Arne
Triple: [John Arne Riise, givenName, John Arne]
Generated description
John Arne is a Norwegian former professional footballer best known for his long-range shooting and successful spell as a left-back with Liverpool FC and the Norway national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Arne
Target entity description: John Arne is a Norwegian former professional footballer best known for his long-range shooting and successful spell as a left-back with Liverpool FC and the Norway national team.
  • A. Tore Lie
    Tore Lie is a Norwegian former handball player who competed in the 1972 Summer Olympics.
  • B. 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.
  • C. Espen Lind
    Espen Lind is a Norwegian singer, songwriter, and producer known for his solo hits and for writing and producing songs for international pop artists.
  • D. Tore Schei
    Tore Schei is a Norwegian jurist who served as the Chief Justice of the Supreme Court of Norway.
  • E. 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.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1961090819090daf7254f90a176 completed April 21, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7f4d5f08190a733c7247f51f492 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d8f47be881909859bbe23887d0fc completed May 16, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a08d99214b48190b0ffba4026d3fa39 completed May 16, 2026, 8:54 p.m.
Created at: April 16, 2026, 12:14 p.m.