Triple

T8970624
Position Surface form Disambiguated ID Type / Status
Subject Ernő Gerő E214255 entity
Predicate familyName P18 FINISHED
Object Gerő
Gerő is a Hungarian surname most notably borne by Ernő Gerő, a prominent 20th-century Hungarian communist politician and leader.
 E771213 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: Gerő | Statement: [Ernő Gerő, familyName, Gerő]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerő
Context triple: [Ernő Gerő, familyName, Gerő]
  • A. Géza
    Géza was a 10th-century Grand Prince of the Hungarians who played a key role in consolidating the Hungarian state and paving the way for its Christianization under his son Stephen I.
  • B. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. Jenő
    Jenő is the Hungarian given name of the renowned theoretical physicist and mathematician Wigner Jenő Pál, known in English as Eugene Wigner.
  • E. Ernő
    Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
  • 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: Gerő
Triple: [Ernő Gerő, familyName, Gerő]
Generated description
Gerő is a Hungarian surname most notably borne by Ernő Gerő, a prominent 20th-century Hungarian communist politician and leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerő
Target entity description: Gerő is a Hungarian surname most notably borne by Ernő Gerő, a prominent 20th-century Hungarian communist politician and leader.
  • A. Géza
    Géza was a 10th-century Grand Prince of the Hungarians who played a key role in consolidating the Hungarian state and paving the way for its Christianization under his son Stephen I.
  • B. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. Jenő
    Jenő is the Hungarian given name of the renowned theoretical physicist and mathematician Wigner Jenő Pál, known in English as Eugene Wigner.
  • E. Ernő
    Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67672c108190919ae6ca69b6291f completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0aba020819088bc6d7a461bbcdb completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd15c82208190adc11bc6ab1b959b completed April 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfd1eb7f588190a7b7a4ccb48a51d9 completed April 3, 2026, 2:42 p.m.
Created at: March 30, 2026, 7:02 p.m.