Triple

T15562951
Position Surface form Disambiguated ID Type / Status
Subject Fedje Municipality E371042 entity
Predicate hasMayor P185 FINISHED
Object Stian Herøy
Stian Herøy is a Norwegian local politician who serves as the mayor of Fedje Municipality.
 E1193231 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: Stian Herøy | Statement: [Fedje Municipality, hasMayor, Stian Herøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stian Herøy
Context triple: [Fedje Municipality, hasMayor, Stian Herøy]
  • A. 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.
  • B. Erlend Øye
    Erlend Øye is a Norwegian musician, singer, and songwriter best known as a member of Kings of Convenience and the electronic/pop project The Whitest Boy Alive.
  • 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. 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. Petter Skavlan
    Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
  • 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: Stian Herøy
Triple: [Fedje Municipality, hasMayor, Stian Herøy]
Generated description
Stian Herøy is a Norwegian local politician who serves as the mayor of Fedje Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stian Herøy
Target entity description: Stian Herøy is a Norwegian local politician who serves as the mayor of Fedje Municipality.
  • A. 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.
  • B. Erlend Øye
    Erlend Øye is a Norwegian musician, singer, and songwriter best known as a member of Kings of Convenience and the electronic/pop project The Whitest Boy Alive.
  • 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. 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. Petter Skavlan
    Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4670e8881908bc9f3879ba208ba completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe692328081908739b446ad4d46bb completed May 10, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69ffe79224bc8190803649e3536afae0 completed May 10, 2026, 2:04 a.m.
Created at: April 10, 2026, 4:09 a.m.