Triple

T20277285
Position Surface form Disambiguated ID Type / Status
Subject Josef Alvinczi E503048 entity
Predicate familyName P18 FINISHED
Object Alvinczi
Alvinczi is the surname of Josef Alvinczi, an 18th-century Austrian field marshal of Hungarian origin who served in the Habsburg military during the French Revolutionary Wars.
E1422619 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: Alvinczi | Statement: [Josef Alvinczi, familyName, Alvinczi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvinczi
Context triple: [Josef Alvinczi, familyName, Alvinczi]
  • A. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • B. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • C. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • D. Erdődy
    Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
  • E. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • 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: Alvinczi
Triple: [Josef Alvinczi, familyName, Alvinczi]
Generated description
Alvinczi is the surname of Josef Alvinczi, an 18th-century Austrian field marshal of Hungarian origin who served in the Habsburg military during the French Revolutionary Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alvinczi
Target entity description: Alvinczi is the surname of Josef Alvinczi, an 18th-century Austrian field marshal of Hungarian origin who served in the Habsburg military during the French Revolutionary Wars.
  • A. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • B. Zoltán
    Zoltán was an early medieval Hungarian ruler, traditionally regarded as one of the first princes of the Principality of Hungary and a successor in the Árpád dynasty.
  • C. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • D. Erdődy
    Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
  • E. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e4cdfc81908c7cb4519a7d744b completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a23a5f88190958b045de0b64087 completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085aecd7e48190a82b7cc8ac9f53ba completed May 16, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a085baddf1c8190ac7444a8e1d5128f completed May 16, 2026, 11:57 a.m.
Created at: April 16, 2026, 10:35 a.m.