Triple

T5055995
Position Surface form Disambiguated ID Type / Status
Subject Olivera Despina E113904 entity
Predicate givenName P17 FINISHED
Object Olivera
Olivera is a feminine given name of Slavic origin, commonly used in various Balkan countries.
 E490441 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: Olivera | Statement: [Olivera Despina, givenName, Olivera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olivera
Context triple: [Olivera Despina, givenName, Olivera]
  • A. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • B. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • C. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • D. Olzino
    Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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: Olivera
Triple: [Olivera Despina, givenName, Olivera]
Generated description
Olivera is a feminine given name of Slavic origin, commonly used in various Balkan countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olivera
Target entity description: Olivera is a feminine given name of Slavic origin, commonly used in various Balkan countries.
  • A. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • B. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • C. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • D. Olzino
    Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744e45588190beaa2f96bb2f41e2 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea48cc7b88190a9ea43f79b0a0cf0 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea654fa8881908a50be410d4ea7d5 completed March 21, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69bea6ad303481909c41af9a4e002e0b completed March 21, 2026, 2:09 p.m.
Created at: March 20, 2026, 1:38 p.m.