Triple

T15728968
Position Surface form Disambiguated ID Type / Status
Subject Nina Van Pallandt E381290 entity
Predicate notableWork P4 FINISHED
Object Nina & Frederik
Nina & Frederik were a popular Danish-Dutch folk singing duo of the late 1950s and 1960s, known for their smooth harmonies and international hits like "Little Donkey."
 E1174059 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: Nina & Frederik | Statement: [Nina Van Pallandt, notableWork, Nina & Frederik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nina & Frederik
Context triple: [Nina Van Pallandt, notableWork, Nina & Frederik]
  • A. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • B. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • C. Cecilie
    Cecilie is a feminine given name, commonly used in Scandinavian countries, that is a variant of the name Cecilia.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Edvarda
    Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
  • 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: Nina & Frederik
Triple: [Nina Van Pallandt, notableWork, Nina & Frederik]
Generated description
Nina & Frederik were a popular Danish-Dutch folk singing duo of the late 1950s and 1960s, known for their smooth harmonies and international hits like "Little Donkey."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nina & Frederik
Target entity description: Nina & Frederik were a popular Danish-Dutch folk singing duo of the late 1950s and 1960s, known for their smooth harmonies and international hits like "Little Donkey."
  • A. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • B. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • C. Cecilie
    Cecilie is a feminine given name, commonly used in Scandinavian countries, that is a variant of the name Cecilia.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Edvarda
    Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fcb4e4819097bd0591bbcc3b71 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83ca33d08190816130bf2ea735df completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.