Triple

T12900845
Position Surface form Disambiguated ID Type / Status
Subject Lars Magne Ingebrigtsen E308605 entity
Predicate familyName P18 FINISHED
Object Ingebrigtsen
Ingebrigtsen is a Norwegian surname most prominently associated with several notable figures in sports and public life, including the famous middle-distance running family.
E1008145 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: Ingebrigtsen | Statement: [Lars Magne Ingebrigtsen, familyName, Ingebrigtsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingebrigtsen
Context triple: [Lars Magne Ingebrigtsen, familyName, Ingebrigtsen]
  • A. Ole Einar
    Ole Einar is a Norwegian former biathlete widely regarded as one of the greatest in the sport’s history.
  • B. Bjørndal
    Bjørndal is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • C. Sanne Hans
    Sanne Hans is a Dutch singer and songwriter, best known as the lead vocalist of the band Miss Montreal and for her prominent role on Dutch television music shows.
  • D. Bjørn
    Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
  • E. Eirik Bakke
    Eirik Bakke is a Norwegian former professional footballer and current football manager known for his midfield career at clubs like Leeds United and his coaching roles in Norwegian football.
  • 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: Ingebrigtsen
Triple: [Lars Magne Ingebrigtsen, familyName, Ingebrigtsen]
Generated description
Ingebrigtsen is a Norwegian surname most prominently associated with several notable figures in sports and public life, including the famous middle-distance running family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ingebrigtsen
Target entity description: Ingebrigtsen is a Norwegian surname most prominently associated with several notable figures in sports and public life, including the famous middle-distance running family.
  • A. Ole Einar
    Ole Einar is a Norwegian former biathlete widely regarded as one of the greatest in the sport’s history.
  • B. Bjørndal
    Bjørndal is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • C. Sanne Hans
    Sanne Hans is a Dutch singer and songwriter, best known as the lead vocalist of the band Miss Montreal and for her prominent role on Dutch television music shows.
  • D. Bjørn
    Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
  • E. Eirik Bakke
    Eirik Bakke is a Norwegian former professional footballer and current football manager known for his midfield career at clubs like Leeds United and his coaching roles in Norwegian football.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6179cdc8190976daa1384032445 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a6cbec348190a96a0194b2d6be4b completed May 3, 2026, 1:37 a.m.
Created at: April 9, 2026, 5:40 p.m.