Triple

T7955747
Position Surface form Disambiguated ID Type / Status
Subject Rune Gerhardsen E184731 entity
Predicate givenName P17 FINISHED
Object Rune
Rune is a masculine given name of Old Norse origin, commonly used in Scandinavian countries.
 E705165 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: Rune | Statement: [Rune Gerhardsen, givenName, Rune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rune
Context triple: [Rune Gerhardsen, givenName, Rune]
  • A. Runemo
    Runemo is a small locality situated within Ovanåker Municipality in Gävleborg County, Sweden.
  • B. Brandish
    Brandish is a notable high-speed corner on the Snaefell Mountain Course used for the Isle of Man TT motorcycle races.
  • C. Rog
    Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
  • D. Gunalda
    Gunalda is a small rural town in Queensland, Australia, situated inland within the Fraser Coast Region and known for its agricultural surroundings and local community facilities.
  • E. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • 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: Rune
Triple: [Rune Gerhardsen, givenName, Rune]
Generated description
Rune is a masculine given name of Old Norse origin, commonly used in Scandinavian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rune
Target entity description: Rune is a masculine given name of Old Norse origin, commonly used in Scandinavian countries.
  • A. Runemo
    Runemo is a small locality situated within Ovanåker Municipality in Gävleborg County, Sweden.
  • B. Brandish
    Brandish is a notable high-speed corner on the Snaefell Mountain Course used for the Isle of Man TT motorcycle races.
  • C. Rog
    Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
  • D. Gunalda
    Gunalda is a small rural town in Queensland, Australia, situated inland within the Fraser Coast Region and known for its agricultural surroundings and local community facilities.
  • E. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b60e9508190ad9974ad551bcbc6 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0687cdc81909d31e1d964639f36 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:11 p.m.