Triple

T21155274
Position Surface form Disambiguated ID Type / Status
Subject Vesna Vulović E521296 entity
Predicate givenName P17 FINISHED
Object Vesna
Vesna is a feminine given name commonly used in Slavic countries, often associated with the concept of spring.
 E1469671 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: Vesna | Statement: [Vesna Vulović, givenName, Vesna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vesna
Context triple: [Vesna Vulović, givenName, Vesna]
  • A. Vesna
    "Vesna" is a notable Soviet-era film featuring the acclaimed Russian actress Faina Ranevskaya.
  • B. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • C. Bjelica
    Bjelica is a river in central Serbia that serves as a left-bank tributary of the West Morava.
  • D. Vinica
    Vinica is a small town and municipality in eastern North Macedonia, known for its historical heritage and proximity to the city of Kočani.
  • E. Vinka
    Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
  • 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: Vesna
Triple: [Vesna Vulović, givenName, Vesna]
Generated description
Vesna is a feminine given name commonly used in Slavic countries, often associated with the concept of spring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vesna
Target entity description: Vesna is a feminine given name commonly used in Slavic countries, often associated with the concept of spring.
  • A. Vesna
    "Vesna" is a notable Soviet-era film featuring the acclaimed Russian actress Faina Ranevskaya.
  • B. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • C. Bjelica
    Bjelica is a river in central Serbia that serves as a left-bank tributary of the West Morava.
  • D. Vinica
    Vinica is a small town and municipality in eastern North Macedonia, known for its historical heritage and proximity to the city of Kočani.
  • E. Vinka
    Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252b40ac81908ab7e30c662a6c94 completed April 21, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096dca1b28819087d3d6d118e7eaee completed May 17, 2026, 7:27 a.m.
NEDg Description generation batch_6a096e6cce748190ba618dfe86f7f6ce completed May 17, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a096f7706448190a1bb61535e0adcd3 completed May 17, 2026, 7:34 a.m.
Created at: April 16, 2026, 2:58 p.m.