Triple

T7746423
Position Surface form Disambiguated ID Type / Status
Subject Sven Nykvist E175642 entity
Predicate givenName P17 FINISHED
Object Sven
Sven is a Scandinavian masculine given name most famously borne by Swedish cinematographer Sven Nykvist.
 E185432 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: Sven | Statement: [Sven Nykvist, givenName, Sven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sven
Context triple: [Sven Nykvist, givenName, Sven]
  • A. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • B. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • 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. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • E. Sven Berg
    Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
  • 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: Sven
Triple: [Sven Nykvist, givenName, Sven]
Generated description
Sven is a Scandinavian masculine given name most famously borne by Swedish cinematographer Sven Nykvist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sven
Target entity description: Sven is a Scandinavian masculine given name most famously borne by Swedish cinematographer Sven Nykvist.
  • A. Sven chosen
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • B. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • C. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • D. 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.
  • E. Sven Berg
    Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
  • F. None of above.

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.