Triple

T11636330
Position Surface form Disambiguated ID Type / Status
Subject Sofi Oksanen E276529 entity
Predicate givenName P17 FINISHED
Object Sofi
Sofi is a feminine given name used in various cultures, often as a variant of "Sophie" or "Sophia."
 E937286 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: Sofi | Statement: [Sofi Oksanen, givenName, Sofi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sofi
Context triple: [Sofi Oksanen, givenName, Sofi]
  • A. Anela
    Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
  • B. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • C. Alessia
    Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
  • D. Ksenia
    Ksenia is a feminine given name, commonly used in Slavic countries and derived from the Greek name Xenia, meaning "hospitality" or "guest-friendship."
  • E. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • 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: Sofi
Triple: [Sofi Oksanen, givenName, Sofi]
Generated description
Sofi is a feminine given name used in various cultures, often as a variant of "Sophie" or "Sophia."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sofi
Target entity description: Sofi is a feminine given name used in various cultures, often as a variant of "Sophie" or "Sophia."
  • A. Anela
    Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
  • B. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • C. Alessia
    Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
  • D. Ksenia
    Ksenia is a feminine given name, commonly used in Slavic countries and derived from the Greek name Xenia, meaning "hospitality" or "guest-friendship."
  • E. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25d80208190b33e95db2e7cc276 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87c0fe4881908dda9c493d958500 completed April 26, 2026, 9:46 p.m.
NEDg Description generation batch_69eeb31438f88190bab71212293f2d2e completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.