Triple

T7746424
Position Surface form Disambiguated ID Type / Status
Subject Sven Nykvist E175642 entity
Predicate familyName P18 FINISHED
Object Nykvist
Nykvist is a Swedish surname most famously associated with Sven Nykvist, the acclaimed cinematographer known for his work with director Ingmar Bergman.
 E686661 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: Nykvist | Statement: [Sven Nykvist, familyName, Nykvist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nykvist
Context triple: [Sven Nykvist, familyName, Nykvist]
  • A. Knudsen
    Knudsen is a Danish-origin surname borne by various notable individuals in fields such as industry, science, and the arts.
  • B. Edström
    Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
  • C. Enström
    Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
  • D. Nyquist
    Nyquist is a surname most famously associated with Swedish-American engineer Harry Nyquist, known for his foundational contributions to information theory and telecommunications.
  • E. Norrström
    Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
  • 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: Nykvist
Triple: [Sven Nykvist, familyName, Nykvist]
Generated description
Nykvist is a Swedish surname most famously associated with Sven Nykvist, the acclaimed cinematographer known for his work with director Ingmar Bergman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nykvist
Target entity description: Nykvist is a Swedish surname most famously associated with Sven Nykvist, the acclaimed cinematographer known for his work with director Ingmar Bergman.
  • A. Knudsen
    Knudsen is a Danish-origin surname borne by various notable individuals in fields such as industry, science, and the arts.
  • B. Edström
    Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
  • C. Enström
    Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
  • D. Nyquist
    Nyquist is a surname most famously associated with Swedish-American engineer Harry Nyquist, known for his foundational contributions to information theory and telecommunications.
  • E. Norrström
    Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7038b46bc8190b3a8a9da09d2b8df completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4cdb148190af3ebaf9ac35b641 completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8c41b2880819097962e23bbc0262b completed March 29, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69c8c47c421c8190ab22fc852f52beb8 completed March 29, 2026, 6:19 a.m.
Created at: March 27, 2026, 4:08 p.m.