Triple

T18832788
Position Surface form Disambiguated ID Type / Status
Subject Prince Viggo of Denmark E460576 entity
Predicate givenName P17 FINISHED
Object Viggo
Viggo is a Danish royal given name borne by Prince Viggo of Denmark, a 20th-century member of the Danish royal family.
E1345274 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: Viggo | Statement: [Prince Viggo of Denmark, givenName, Viggo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viggo
Context triple: [Prince Viggo of Denmark, givenName, Viggo]
  • A. Suvari
    Suvari is the surname of American actress and model Mena Suvari, known for her roles in films like "American Beauty" and the "American Pie" series.
  • B. Kristofer Hivju
    Kristofer Hivju is a Norwegian actor best known internationally for his role as Tormund Giantsbane in the television series Game of Thrones.
  • C. Michael Black
    Michael Black is an individual member of the Black family, a lineage or household identified by the shared Black surname.
  • D. Eric Northman
    Eric Northman is a centuries-old Viking vampire and charismatic bar owner who serves as a powerful and morally complex figure in the television series True Blood.
  • E. Theron
    Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
  • 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: Viggo
Triple: [Prince Viggo of Denmark, givenName, Viggo]
Generated description
Viggo is a Danish royal given name borne by Prince Viggo of Denmark, a 20th-century member of the Danish royal family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Viggo
Target entity description: Viggo is a Danish royal given name borne by Prince Viggo of Denmark, a 20th-century member of the Danish royal family.
  • A. Suvari
    Suvari is the surname of American actress and model Mena Suvari, known for her roles in films like "American Beauty" and the "American Pie" series.
  • B. Kristofer Hivju
    Kristofer Hivju is a Norwegian actor best known internationally for his role as Tormund Giantsbane in the television series Game of Thrones.
  • C. Michael Black
    Michael Black is an individual member of the Black family, a lineage or household identified by the shared Black surname.
  • D. Eric Northman
    Eric Northman is a centuries-old Viking vampire and charismatic bar owner who serves as a powerful and morally complex figure in the television series True Blood.
  • E. Theron
    Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99b540c8190a29e5f9d56791d41 completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05676782048190810125e6b9317bcd completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a05692c88c481909a7e321a4975e12f completed May 14, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0569c79b5c8190a63326c332674dd7 completed May 14, 2026, 6:20 a.m.
Created at: April 10, 2026, 11:56 a.m.