Triple

T7482769
Position Surface form Disambiguated ID Type / Status
Subject Ylva Johansson E176801 entity
Predicate givenName P17 FINISHED
Object Ylva
Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
 E666803 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: Ylva | Statement: [Ylva Johansson, givenName, Ylva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ylva
Context triple: [Ylva Johansson, givenName, Ylva]
  • A. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • B. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • C. Elin
    Elin is a feminine given name, commonly used in Scandinavian countries and often considered a variant of Ellen or Helen.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Ulrike
    Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
  • 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: Ylva
Triple: [Ylva Johansson, givenName, Ylva]
Generated description
Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ylva
Target entity description: Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • A. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • B. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • C. Elin
    Elin is a feminine given name, commonly used in Scandinavian countries and often considered a variant of Ellen or Helen.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Ulrike
    Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5374bb08190bdf6ca72a3d0cd1c completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83498965481909367681b63c5db63 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c835cf7a58819095ed79b84f935a84 completed March 28, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_69c8366b2fcc8190bd8b07a54a848721 completed March 28, 2026, 8:13 p.m.
Created at: March 27, 2026, 3:42 p.m.