Triple

T9723142
Position Surface form Disambiguated ID Type / Status
Subject Ulrika Eleonora of Sweden E235531 entity
Predicate givenName P17 FINISHED
Object Ulrika
Ulrika is a feminine given name of Scandinavian origin, notably borne by Swedish royalty such as Queen Ulrika Eleonora.
 E623803 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: Ulrika | Statement: [Ulrika Eleonora of Sweden, givenName, Ulrika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ulrika
Context triple: [Ulrika Eleonora of Sweden, givenName, Ulrika]
  • A. Ulrike
    Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
  • B. Ulrika Wolf-Knuts
    Ulrika Wolf-Knuts is a Finnish folklorist and academic who has served as chancellor of Åbo Akademi University.
  • C. Henrike
    Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • D. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • E. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • 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: Ulrika
Triple: [Ulrika Eleonora of Sweden, givenName, Ulrika]
Generated description
Ulrika is a feminine given name of Scandinavian origin, notably borne by Swedish royalty such as Queen Ulrika Eleonora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ulrika
Target entity description: Ulrika is a feminine given name of Scandinavian origin, notably borne by Swedish royalty such as Queen Ulrika Eleonora.
  • A. Ulrike chosen
    Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
  • B. Ulrika Wolf-Knuts
    Ulrika Wolf-Knuts is a Finnish folklorist and academic who has served as chancellor of Åbo Akademi University.
  • C. Henrike
    Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • D. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • E. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e75abd48190a6e6679ec51496e8 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fa5a8e48190b7b1742eb6c3b81e completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a022efd48190b0206bbdf3d93b9e completed April 4, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69d1a09ae5b48190b4d0b01cd20ba140 completed April 4, 2026, 11:36 p.m.
Created at: March 30, 2026, 8:20 p.m.