Triple

T16688069
Position Surface form Disambiguated ID Type / Status
Subject Shvarn Danylovych E405517 entity
Predicate givenName P17 FINISHED
Object Shvarn
Shvarn was a 13th-century prince of the Kingdom of Galicia–Volhynia who briefly ruled as Grand Duke of Lithuania.
E1228391 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: Shvarn | Statement: [Shvarn Danylovych, givenName, Shvarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shvarn
Context triple: [Shvarn Danylovych, givenName, Shvarn]
  • A. Tivadar
    Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
  • B. Grudusk
    Grudusk is a village in north-central Poland that serves as the administrative center of the surrounding rural district (gmina) of the same name.
  • C. Guiderius
    Guiderius is a noble prince and one of the central heroic figures in William Shakespeare’s play "Cymbeline," known for his bravery and hidden royal identity.
  • D. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • E. Rylsk
    Rylsk is a historic town that once served as the political and administrative center of the medieval Principality of Rylsk in Eastern Europe.
  • 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: Shvarn
Triple: [Shvarn Danylovych, givenName, Shvarn]
Generated description
Shvarn was a 13th-century prince of the Kingdom of Galicia–Volhynia who briefly ruled as Grand Duke of Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shvarn
Target entity description: Shvarn was a 13th-century prince of the Kingdom of Galicia–Volhynia who briefly ruled as Grand Duke of Lithuania.
  • A. Tivadar
    Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
  • B. Grudusk
    Grudusk is a village in north-central Poland that serves as the administrative center of the surrounding rural district (gmina) of the same name.
  • C. Guiderius
    Guiderius is a noble prince and one of the central heroic figures in William Shakespeare’s play "Cymbeline," known for his bravery and hidden royal identity.
  • D. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • E. Rylsk
    Rylsk is a historic town that once served as the political and administrative center of the medieval Principality of Rylsk in Eastern Europe.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea75df481909a7ebb9b2a9d0afd completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a45af7c8190bfe09dd0e0573573 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b41a1648190bd1c2268c8a80ee2 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008c2bcac48190801ba34fde104a8a completed May 10, 2026, 1:46 p.m.
Created at: April 10, 2026, 5:19 a.m.