Triple

T2244513
Position Surface form Disambiguated ID Type / Status
Subject Kris Kristofferson E49471 entity
Predicate givenName P17 FINISHED
Object Kristoffer
Kristoffer is the given name of Kris Kristofferson, the American singer-songwriter, actor, and country music icon.
 E247080 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: Kristoffer | Statement: [Kris Kristofferson, givenName, Kristoffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kristoffer
Context triple: [Kris Kristofferson, givenName, Kristoffer]
  • A. Kristian
    Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
  • B. Kristian Welhaven
    Kristian Welhaven was a Norwegian police chief and public official, known for his prominent role in Oslo’s law enforcement in the early 20th century.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Mikael
    Mikael is a masculine given name commonly used in Scandinavian and Finnish cultures, equivalent to Michael.
  • E. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • 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: Kristoffer
Triple: [Kris Kristofferson, givenName, Kristoffer]
Generated description
Kristoffer is the given name of Kris Kristofferson, the American singer-songwriter, actor, and country music icon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kristoffer
Target entity description: Kristoffer is the given name of Kris Kristofferson, the American singer-songwriter, actor, and country music icon.
  • A. Kristian
    Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
  • B. Kristian Welhaven
    Kristian Welhaven was a Norwegian police chief and public official, known for his prominent role in Oslo’s law enforcement in the early 20th century.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Mikael
    Mikael is a masculine given name commonly used in Scandinavian and Finnish cultures, equivalent to Michael.
  • E. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0e8d5648190915ff689c7ca42bc completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b10c38c8190af7d6d99f9377df1 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbdef14819084b96389435ca080 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2cfac48190b0425088e79cd122 completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.