Triple

T12043585
Position Surface form Disambiguated ID Type / Status
Subject János E286726 entity
Predicate relatedName P3889 FINISHED
Object Jancsi
Jancsi is a Hungarian diminutive form of the male given name János, commonly used as a familiar or affectionate nickname.
E961527 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: Jancsi | Statement: [János, relatedName, Jancsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jancsi
Context triple: [János, relatedName, Jancsi]
  • A. Karcsi
    Karcsi is a common Hungarian diminutive form of the male given name Károly, used as an affectionate or informal nickname.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Husák
    Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
  • D. Gergely
    Gergely is the Hungarian form of the given name Gregory, commonly used as a masculine first name in Hungary.
  • E. Jenő
    Jenő is the Hungarian given name of the renowned theoretical physicist and mathematician Wigner Jenő Pál, known in English as Eugene Wigner.
  • 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: Jancsi
Triple: [János, relatedName, Jancsi]
Generated description
Jancsi is a Hungarian diminutive form of the male given name János, commonly used as a familiar or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jancsi
Target entity description: Jancsi is a Hungarian diminutive form of the male given name János, commonly used as a familiar or affectionate nickname.
  • A. Karcsi
    Karcsi is a common Hungarian diminutive form of the male given name Károly, used as an affectionate or informal nickname.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Husák
    Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
  • D. Gergely
    Gergely is the Hungarian form of the given name Gregory, commonly used as a masculine first name in Hungary.
  • E. Jenő
    Jenő is the Hungarian given name of the renowned theoretical physicist and mathematician Wigner Jenő Pál, known in English as Eugene Wigner.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49da728ec819080c349fd8d0ed62c completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564b826ec819098906cf735e45093 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.