Triple

T2112016
Position Surface form Disambiguated ID Type / Status
Subject Gheorghe Avramescu E42524 entity
Predicate familyName P18 FINISHED
Object Avramescu
Avramescu is a Romanian surname most notably associated with Gheorghe Avramescu, a Romanian general during World War II.
 E234125 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: Avramescu | Statement: [Gheorghe Avramescu, familyName, Avramescu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avramescu
Context triple: [Gheorghe Avramescu, familyName, Avramescu]
  • A. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • B. Mihai
    Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
  • C. Cismuntincu
    Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
  • D. Avromani
    Avromani is an alternative name for the Gorani people, a Slavic Muslim ethnic group primarily inhabiting the Gora region in the Balkans.
  • E. Dumitru Erhan
    Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
  • 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: Avramescu
Triple: [Gheorghe Avramescu, familyName, Avramescu]
Generated description
Avramescu is a Romanian surname most notably associated with Gheorghe Avramescu, a Romanian general during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avramescu
Target entity description: Avramescu is a Romanian surname most notably associated with Gheorghe Avramescu, a Romanian general during World War II.
  • A. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • B. Mihai
    Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
  • C. Cismuntincu
    Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
  • D. Avromani
    Avromani is an alternative name for the Gorani people, a Slavic Muslim ethnic group primarily inhabiting the Gora region in the Balkans.
  • E. Dumitru Erhan
    Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0369a88190af02f0e4e05e2511 completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30721e1c8190869d577f58015141 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae3112c4648190952ad02ef8037b36 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae319b3d688190adea922024e552cd completed March 9, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:43 p.m.