Triple

T8803153
Position Surface form Disambiguated ID Type / Status
Subject Pernilla August E209458 entity
Predicate givenName P17 FINISHED
Object Pernilla
Pernilla is a Scandinavian feminine given name, particularly common in Sweden and associated with several notable Swedish actresses and public figures.
 E759225 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: Pernilla | Statement: [Pernilla August, givenName, Pernilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pernilla
Context triple: [Pernilla August, givenName, Pernilla]
  • A. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • B. Kerstin
    Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
  • C. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • D. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • E. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • 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: Pernilla
Triple: [Pernilla August, givenName, Pernilla]
Generated description
Pernilla is a Scandinavian feminine given name, particularly common in Sweden and associated with several notable Swedish actresses and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pernilla
Target entity description: Pernilla is a Scandinavian feminine given name, particularly common in Sweden and associated with several notable Swedish actresses and public figures.
  • A. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • B. Kerstin
    Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
  • C. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • D. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • E. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f840d9c8190a88a61104969b0e5 completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf708dbd54819099efa4b5729d6298 completed April 3, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf7163e2088190bf252896cc4036b2 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:44 p.m.