Triple

T15395190
Position Surface form Disambiguated ID Type / Status
Subject Primož Roglič E368159 entity
Predicate givenName P17 FINISHED
Object Primož
Primož is a masculine given name of Slovene origin, commonly used in Slovenia.
 E1154251 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: Primož | Statement: [Primož Roglič, givenName, Primož]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Primož
Context triple: [Primož Roglič, givenName, Primož]
  • A. Sebastjan
    Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
  • B. Anton Korošec
    Anton Korošec was a Slovene Roman Catholic priest and politician who became a key leader in South Slavic unification efforts and later a prominent statesman in the Kingdom of Yugoslavia.
  • C. Anže Rozman
    Anže Rozman is a Slovenian composer known for his orchestral and cinematic music, including work on the nature documentary series "Prehistoric Planet."
  • D. Matej Bel
    Matej Bel was an 18th-century Hungarian-Slovak scholar, historian, and polyhistor renowned for his comprehensive works on the geography, history, and culture of the Kingdom of Hungary.
  • E. Andrej Sustr
    Andrej Šustr is a Czech professional ice hockey defenseman who has played in the NHL, most notably for the Tampa Bay Lightning.
  • 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: Primož
Triple: [Primož Roglič, givenName, Primož]
Generated description
Primož is a masculine given name of Slovene origin, commonly used in Slovenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Primož
Target entity description: Primož is a masculine given name of Slovene origin, commonly used in Slovenia.
  • A. Sebastjan
    Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
  • B. Anton Korošec
    Anton Korošec was a Slovene Roman Catholic priest and politician who became a key leader in South Slavic unification efforts and later a prominent statesman in the Kingdom of Yugoslavia.
  • C. Anže Rozman
    Anže Rozman is a Slovenian composer known for his orchestral and cinematic music, including work on the nature documentary series "Prehistoric Planet."
  • D. Matej Bel
    Matej Bel was an 18th-century Hungarian-Slovak scholar, historian, and polyhistor renowned for his comprehensive works on the geography, history, and culture of the Kingdom of Hungary.
  • E. Andrej Sustr
    Andrej Šustr is a Czech professional ice hockey defenseman who has played in the NHL, most notably for the Tampa Bay Lightning.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ac79081908ac79c0b3e7587ff completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13523f548190beafd130f8741465 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141babdc8190bac03e8a294984ce completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff14d3e78881909692d5594bc941d8 completed May 9, 2026, 11:04 a.m.
Created at: April 10, 2026, 3:19 a.m.