Triple

T11712042
Position Surface form Disambiguated ID Type / Status
Subject Sébastien E278395 entity
Predicate hasVariant P455 FINISHED
Object Sebastjan
Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
 E942016 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: Sebastjan | Statement: [Sébastien, hasVariant, Sebastjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sebastjan
Context triple: [Sébastien, hasVariant, Sebastjan]
  • A. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • B. Anže
    Anže is the Slovene given name of Anže Kopitar, a prominent Slovenian professional ice hockey player and longtime captain of the Los Angeles Kings in the NHL.
  • C. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • D. Danijel
    Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
  • E. 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.
  • 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: Sebastjan
Triple: [Sébastien, hasVariant, Sebastjan]
Generated description
Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sebastjan
Target entity description: Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
  • A. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • B. Anže
    Anže is the Slovene given name of Anže Kopitar, a prominent Slovenian professional ice hockey player and longtime captain of the Los Angeles Kings in the NHL.
  • C. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • D. Danijel
    Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
  • E. 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.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4be10088190854699385d1f6a95 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef838562d08190b9a764e88c50d423 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:40 p.m.