Triple

T16714306
Position Surface form Disambiguated ID Type / Status
Subject Vuk Karadžić E406183 entity
Predicate collaboratedWith P435 FINISHED
Object Jernej Kopitar
Jernej Kopitar was a Slovene linguist and philologist known for his influential work on Slavic languages and his support of Vuk Karadžić’s Serbian language reforms.
 E1228858 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: Jernej Kopitar | Statement: [Vuk Karadžić, collaboratedWith, Jernej Kopitar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jernej Kopitar
Context triple: [Vuk Karadžić, collaboratedWith, Jernej Kopitar]
  • A. Luka Korošec
    Luka Korošec was a Slovenian mountaineer known as one of the first climbers to reach the summit of Mount Triglav, the highest peak in Slovenia.
  • B. Primož
    Primož is a masculine given name of Slovene origin, commonly used in Slovenia.
  • C. Primož Brezec
    Primož Brezec is a Slovenian former professional basketball center who played in the NBA and for top European clubs, as well as the Slovenian national team.
  • D. Damir Skomina
    Damir Skomina is a Slovenian football referee recognized for officiating at the highest levels of European and international competitions.
  • E. Sebastjan
    Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
  • 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: Jernej Kopitar
Triple: [Vuk Karadžić, collaboratedWith, Jernej Kopitar]
Generated description
Jernej Kopitar was a Slovene linguist and philologist known for his influential work on Slavic languages and his support of Vuk Karadžić’s Serbian language reforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jernej Kopitar
Target entity description: Jernej Kopitar was a Slovene linguist and philologist known for his influential work on Slavic languages and his support of Vuk Karadžić’s Serbian language reforms.
  • A. Luka Korošec
    Luka Korošec was a Slovenian mountaineer known as one of the first climbers to reach the summit of Mount Triglav, the highest peak in Slovenia.
  • B. Primož
    Primož is a masculine given name of Slovene origin, commonly used in Slovenia.
  • C. Primož Brezec
    Primož Brezec is a Slovenian former professional basketball center who played in the NBA and for top European clubs, as well as the Slovenian national team.
  • D. Damir Skomina
    Damir Skomina is a Slovenian football referee recognized for officiating at the highest levels of European and international competitions.
  • E. Sebastjan
    Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38654ee4c8190abf36c29d6610a96 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091ab9e54819097e71ce1616b28b5 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00923f1da08190b6b2c869284099bc completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00931aa1d88190a0775e74779b3a6b completed May 10, 2026, 2:15 p.m.
Created at: April 10, 2026, 5:20 a.m.