Triple

T5258797
Position Surface form Disambiguated ID Type / Status
Subject Ivar E118767 entity
Predicate hasShortForm P43 FINISHED
Object Ivo
Ivo is a masculine given name, commonly used in various European countries and often derived as a short form of longer Germanic or Slavic names.
 E506886 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: Ivo | Statement: [Ivar, hasShortForm, Ivo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ivo
Context triple: [Ivar, hasShortForm, Ivo]
  • A. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • B. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • C. Ivanoe
    Ivanoe is an Italian masculine given name most notably borne by the 20th-century politician Ivanoe Bonomi, who served as Prime Minister of Italy.
  • D. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • E. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • 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: Ivo
Triple: [Ivar, hasShortForm, Ivo]
Generated description
Ivo is a masculine given name, commonly used in various European countries and often derived as a short form of longer Germanic or Slavic names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ivo
Target entity description: Ivo is a masculine given name, commonly used in various European countries and often derived as a short form of longer Germanic or Slavic names.
  • A. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • B. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • C. Ivanoe
    Ivanoe is an Italian masculine given name most notably borne by the 20th-century politician Ivanoe Bonomi, who served as Prime Minister of Italy.
  • D. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • E. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba791c08190a18176feae8d1475 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe821e3c8190a03c8aa581cc23cf completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff55faec8190a75a1b5f339a2c20 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf001f0d9c8190a67909a06ea41898 completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.