Triple

T7227724
Position Surface form Disambiguated ID Type / Status
Subject Petrus E154823 entity
Predicate hasVariantForm P457 FINISHED
Object Péter
Péter is the Hungarian given name equivalent to Peter, commonly used in Hungary and among Hungarian speakers.
 E650927 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: Péter | Statement: [Petrus, hasVariantForm, Péter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Péter
Context triple: [Petrus, hasVariantForm, Péter]
  • A. Jenő
    Jenő is the Hungarian given name of the renowned theoretical physicist and mathematician Wigner Jenő Pál, known in English as Eugene Wigner.
  • B. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • C. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • D. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • E. Máté
    Máté is the Hungarian form of the given name Matthew, commonly used as a male first name in Hungary.
  • 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: Péter
Triple: [Petrus, hasVariantForm, Péter]
Generated description
Péter is the Hungarian given name equivalent to Peter, commonly used in Hungary and among Hungarian speakers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Péter
Target entity description: Péter is the Hungarian given name equivalent to Peter, commonly used in Hungary and among Hungarian speakers.
  • A. Jenő
    Jenő is the Hungarian given name of the renowned theoretical physicist and mathematician Wigner Jenő Pál, known in English as Eugene Wigner.
  • B. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • C. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • D. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • E. Máté
    Máté is the Hungarian form of the given name Matthew, commonly used as a male first name in Hungary.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9df72cc81908d1c04e6e310fbb4 completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc1cdfb88190934387e44531b732 completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7cdb372c481908a09df2107ada8c3 completed March 28, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7cebb70c881908e851556b678342a completed March 28, 2026, 12:51 p.m.
Created at: March 27, 2026, 2:54 p.m.