Triple

T10964130
Position Surface form Disambiguated ID Type / Status
Subject Kill the Lights E259051 entity
Predicate producer P490 FINISHED
Object Kris Bergsnes
Kris Bergsnes is a music producer known for his work on the track "Kill the Lights."
 E897263 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: Kris Bergsnes | Statement: [Kill the Lights, producer, Kris Bergsnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kris Bergsnes
Context triple: [Kill the Lights, producer, Kris Bergsnes]
  • A. Lee Haugen
    Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
  • B. Mark Kvamme
    Mark Kvamme is an American venture capitalist and entrepreneur known for co-founding the comedy video website Funny or Die and for his prominent role at the venture capital firm Sequoia Capital.
  • C. Christopher Tellefsen
    Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
  • D. Gro Espeseth
    Gro Espeseth is a former Norwegian football defender renowned for her key role in Norway’s successful women’s national team during the 1990s, including winning the 1995 FIFA Women’s World Cup and the 2000 Olympic gold medal.
  • E. Kay Tornborg
    Kay Tornborg is an American artist and the former wife of actor Christopher Lloyd.
  • 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: Kris Bergsnes
Triple: [Kill the Lights, producer, Kris Bergsnes]
Generated description
Kris Bergsnes is a music producer known for his work on the track "Kill the Lights."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kris Bergsnes
Target entity description: Kris Bergsnes is a music producer known for his work on the track "Kill the Lights."
  • A. Lee Haugen
    Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
  • B. Mark Kvamme
    Mark Kvamme is an American venture capitalist and entrepreneur known for co-founding the comedy video website Funny or Die and for his prominent role at the venture capital firm Sequoia Capital.
  • C. Christopher Tellefsen
    Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
  • D. Gro Espeseth
    Gro Espeseth is a former Norwegian football defender renowned for her key role in Norway’s successful women’s national team during the 1990s, including winning the 1995 FIFA Women’s World Cup and the 2000 Olympic gold medal.
  • E. Kay Tornborg
    Kay Tornborg is an American artist and the former wife of actor Christopher Lloyd.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77147f7108190a3b68ba1dd1c130e completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d77277108190979f1b1edeac8964 completed April 18, 2026, 12:59 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:23 p.m.