Triple

T14657832
Position Surface form Disambiguated ID Type / Status
Subject The 13th Warrior E344154 entity
Predicate stars P1956 FINISHED
Object Dennis Storhøi
Dennis Storhøi is a Norwegian actor best known internationally for his role as the warrior Herger in the historical action film "The 13th Warrior."
E1112210 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: Dennis Storhøi | Statement: [The 13th Warrior, stars, Dennis Storhøi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Storhøi
Context triple: [The 13th Warrior, stars, Dennis Storhøi]
  • A. Jørgen Løvland
    Jørgen Løvland was a Norwegian statesman and educator who served as Prime Minister and held several key ministerial posts during the early years of Norway’s independence.
  • B. Petter Skavlan
    Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
  • C. Truls Gerhardsen
    Truls Gerhardsen is a Norwegian politician and the son of former Prime Minister Einar Gerhardsen.
  • D. Øystein Olsen
    Øystein Olsen is a Norwegian economist best known for serving as Governor of Norges Bank, Norway’s central bank.
  • E. Pål Røed
    Pål Røed is a Norwegian film producer known for his work on international productions, including the crime thriller "The Snowman" (2017).
  • 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: Dennis Storhøi
Triple: [The 13th Warrior, stars, Dennis Storhøi]
Generated description
Dennis Storhøi is a Norwegian actor best known internationally for his role as the warrior Herger in the historical action film "The 13th Warrior."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dennis Storhøi
Target entity description: Dennis Storhøi is a Norwegian actor best known internationally for his role as the warrior Herger in the historical action film "The 13th Warrior."
  • A. Jørgen Løvland
    Jørgen Løvland was a Norwegian statesman and educator who served as Prime Minister and held several key ministerial posts during the early years of Norway’s independence.
  • B. Petter Skavlan
    Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
  • C. Truls Gerhardsen
    Truls Gerhardsen is a Norwegian politician and the son of former Prime Minister Einar Gerhardsen.
  • D. Øystein Olsen
    Øystein Olsen is a Norwegian economist best known for serving as Governor of Norges Bank, Norway’s central bank.
  • E. Pål Røed
    Pål Røed is a Norwegian film producer known for his work on international productions, including the crime thriller "The Snowman" (2017).
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd65a6c24819088fb18ffcdfe6404 completed May 8, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdd6f172288190ba7097518b1a971e completed May 8, 2026, 12:28 p.m.
Created at: April 10, 2026, 1:27 a.m.