Triple

T1088742
Position Surface form Disambiguated ID Type / Status
Subject André E24111 entity
Predicate hasRelatedName P3889 FINISHED
Object Andrej
Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
E126090 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: Andrej | Statement: [André, hasRelatedName, Andrej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrej
Context triple: [André, hasRelatedName, Andrej]
  • A. Pavel
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • B. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • C. Adam Buksa
    Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
  • D. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • E. Ilija Trojanow
    Ilija Trojanow is a Bulgarian-born German writer, translator, and publisher known for his travel literature, novels, and essays that often explore themes of migration, cultural identity, and globalization.
  • 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: Andrej
Triple: [André, hasRelatedName, Andrej]
Generated description
Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrej
Target entity description: Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • A. Pavel
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • B. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • C. Adam Buksa
    Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
  • D. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • E. Ilija Trojanow
    Ilija Trojanow is a Bulgarian-born German writer, translator, and publisher known for his travel literature, novels, and essays that often explore themes of migration, cultural identity, and globalization.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97d85708190a1630256648aa4a2 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c243cbc81908d6101faad628fc8 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4cae760881909329701561ad2ba6 completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d7176808190b74d535d7e1b7c6a completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:42 p.m.