Triple

T16379396
Position Surface form Disambiguated ID Type / Status
Subject The Witcher E397759 entity
Predicate notableCharacter P1481 FINISHED
Object Vesemir
Vesemir is an experienced and wise witcher of the School of the Wolf who serves as a mentor and father figure to Geralt of Rivia in The Witcher series.
 E1211081 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: Vesemir | Statement: [The Witcher, notableCharacter, Vesemir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vesemir
Context triple: [The Witcher, notableCharacter, Vesemir]
  • A. Veles
    Veles is a city in central North Macedonia known as an important industrial and transportation hub situated along the Vardar River.
  • B. Vestinian
    The Vestinians were an ancient Italic people of central Italy, culturally and linguistically related to other Sabellian tribes.
  • C. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • D. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • E. Czernobog
    Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
  • 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: Vesemir
Triple: [The Witcher, notableCharacter, Vesemir]
Generated description
Vesemir is an experienced and wise witcher of the School of the Wolf who serves as a mentor and father figure to Geralt of Rivia in The Witcher series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vesemir
Target entity description: Vesemir is an experienced and wise witcher of the School of the Wolf who serves as a mentor and father figure to Geralt of Rivia in The Witcher series.
  • A. Veles
    Veles is a city in central North Macedonia known as an important industrial and transportation hub situated along the Vardar River.
  • B. Vestinian
    The Vestinians were an ancient Italic people of central Italy, culturally and linguistically related to other Sabellian tribes.
  • C. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • D. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • E. Czernobog
    Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319da3c6c8190a9ccf744996c31e8 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356658e881908131a3c60ed5499d completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00383a7180819092ea605aa8ef1672 completed May 10, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_6a00391645ac819092a06dc6813604fa completed May 10, 2026, 7:51 a.m.
Created at: April 10, 2026, 5:08 a.m.