Triple

T9271869
Position Surface form Disambiguated ID Type / Status
Subject Alois E222847 entity
Predicate hasVariant P455 FINISHED
Object Alojz
Alojz is a given name, primarily used in Central and Eastern Europe, that is a linguistic variant of the name Alois.
 E788604 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: Alojz | Statement: [Alois, hasVariant, Alojz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alojz
Context triple: [Alois, hasVariant, Alojz]
  • A. 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.
  • B. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • C. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • D. Ivan Gašparovič
    Ivan Gašparovič is a Slovak politician and lawyer who served as the third President of Slovakia from 2004 to 2014.
  • E. Joze
    Joze is a small commune in central France located within the Thiers arrondissement of the Puy-de-Dôme department.
  • 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: Alojz
Triple: [Alois, hasVariant, Alojz]
Generated description
Alojz is a given name, primarily used in Central and Eastern Europe, that is a linguistic variant of the name Alois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alojz
Target entity description: Alojz is a given name, primarily used in Central and Eastern Europe, that is a linguistic variant of the name Alois.
  • A. 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.
  • B. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • C. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • D. Ivan Gašparovič
    Ivan Gašparovič is a Slovak politician and lawyer who served as the third President of Slovakia from 2004 to 2014.
  • E. Joze
    Joze is a small commune in central France located within the Thiers arrondissement of the Puy-de-Dôme department.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07865790819099b3865a25dae58a completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c355e7c819083a0101c763abd98 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09cff00b88190a17d86f19cf15136 completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09d914d688190af609c4485c746cc completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:33 p.m.